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Given that, implement a basic approach: if the word is capitalized and not the first word of the text, consider it a proper noun. But that's error-prone. For example, the user might have a title where all words are capitalized, but that's a different case. Since the user didn't specify, maybe better to proceed with replacing all words unless they are known proper nouns. Wait, but how to know? Without a list of proper nouns, it's impossible. So the user might expect that only words that are common proper nouns, like names, places, etc., are left as-is, and others are replaced. But since I don't have access to external databases, I can't determine that. So perhaps the instruction is simply to not modify proper nouns, but how to detect them in the text.

Okay, the user wants me to replace each word in a text with three variants in the format word3. But they specified not to touch proper nouns. Let me think about the steps here.

But without knowing the actual text, how can I test this? The user will provide the text, and I need to process it. So in the example they gave, they might have a sample text. Wait, the user hasn't provided a sample text yet. In their initial instruction, they said "Don't touch proper nouns. Text only." So maybe when the user provides the text in a follow-up, I can process it. Pacote Fotos Mulheres Bucetas Grandes Baixar

Another edge case: words with multiple meanings. For example, "bank." Depending on the context, it could be a financial institution or the side of a river. The replacement should respect the context, but without knowing it, it's impossible. So the user may need to be careful with ambiguous terms.

Processed output: "This rapid ginger vixen hops across the lethargic hound, however she keeps calm." Given that, implement a basic approach: if the

So, the plan is: for each word in the input text, check if it's a proper noun. If not, replace it with three synonyms in the specified format. To detect proper nouns, maybe check if the first letter is capitalized, but that's not always accurate. For example, in the middle of a sentence, a proper noun would still be capitalized. So, maybe use that as a heuristic. If a word is capitalized and not at the beginning of a sentence, it might be a proper noun. But without sentence boundaries, that's hard. So perhaps just assume any capitalized word is a proper noun. But that could miss some. Alternatively, use a named entity recognition tool, but that's beyond the scope here. The user probably expects a simple approach.

Another thing: the user might be doing some kind of text modification for creativity, maybe for writing variations or something like that. So they want options to choose from. But the instruction is just to generate the three variants, not to select them. Since the user didn't specify, maybe better to

For every non-proper noun, I need to find three synonyms or alternatives. That might be tricky for some words. For example, if the word is "happy," possible variants could be content. But I have to check if the word is a proper noun first.