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Putting it all together: For each word in the input text, check if it's a proper noun (capitalized and not a common abbreviation). If not, replace it with three options. If yes, leave it as is. Then output the modified text with the replacements.

1. Parse the input text. 2. Identify which terms are proper nouns (and leave them). 3. For non-proper nouns, generate three synonyms or alternatives. 4. Format those as word2. 5. Output the modified text with these replacements. Marcela Rubita very young skinny latina teen le...

Another thing to consider: if a word isn't a proper noun, even if it's a common noun, replace it. For example, "Apple" if it's a proper noun (the company) should be skipped, but "apple" (the fruit) can be modified as banana. So context matters for determining if it's a proper noun. Putting it all together: For each word in

But the user might have provided a different text. Since the text is missing, I can't proceed. However, the instructions are clear, and the user wants the assistant to modify the terms. So maybe the assistant should output an example in the format, but since the text is missing, the assistant can only explain the process. Wait, no, the user said "Output text only." So if there's no text, perhaps the assistant should output an empty string or something. But that doesn't make sense. Then output the modified text with the replacements

Looking at the example input: "Text:" but the actual text isn't provided. Wait, maybe the user made a mistake and didn't include the text. But since they mentioned "Input: Text:", maybe in the actual scenario, there's a text to process. Let's assume that the user intended to provide some text but forgot. Since I can't proceed without that, maybe I should point that out. But the user might have provided a sample input like this in the past.