Websites:
* Grammarly: While primarily a grammar checker, Grammarly also provides part-of-speech tagging in its analysis. [https://www.grammarly.com/](https://www.grammarly.com/)
* LanguageTool: Another grammar checker that offers part-of-speech tagging, along with other language analysis features. [https://languagetool.org/](https://languagetool.org/)
* Stanford CoreNLP: A suite of natural language processing tools including a part-of-speech tagger. You can access it through their website, but it's more advanced for developers. [https://stanfordnlp.github.io/CoreNLP/](https://stanfordnlp.github.io/CoreNLP/)
Tools:
* NLTK (Natural Language Toolkit): A popular Python library for natural language processing, including a part-of-speech tagger. It's more suitable for programming and data analysis. [https://www.nltk.org/](https://www.nltk.org/)
* spaCy: Another Python library with a powerful part-of-speech tagger, known for its speed and efficiency. [https://spacy.io/](https://spacy.io/)
How to use them:
1. Enter your sentence: Most of these tools will have a text box where you can paste or type your sentence.
2. Run the analysis: Click a button or submit the sentence to initiate the part-of-speech tagging.
3. View the results: The tool will display the sentence with each word tagged with its corresponding part of speech (e.g., noun, verb, adjective, etc.).
Remember that the accuracy of the tagging might vary depending on the tool and the complexity of the sentence. These tools are generally quite accurate, but they might misinterpret some words or phrases, especially in more complex language constructs.
If you need a specific and highly accurate analysis, consulting a grammar reference book or working with a linguist might be a better approach.