<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def analyze(self, features, text=None, html=None, url=None, clean=None, xpath=None, fallback_to_raw=None, return_analyzed_text=None, language=None, limit_text_characters=None, **kwargs):
 """ Analyze text. Analyzes text, HTML, or a public webpage for the following features: - Categories - Concepts - Emotion - Entities - Keywords - Metadata - Relations - Semantic roles - Sentiment - Syntax (Experimental). :param Features features: Specific features to analyze the document for. :param str text: The plain text to analyze. One of the `text`, `html`, or `url` parameters is required. :param str html: The HTML file to analyze. One of the `text`, `html`, or `url` parameters is required. :param str url: The webpage to analyze. One of the `text`, `html`, or `url` parameters is required. :param bool clean: Set this to `false` to disable webpage cleaning. To learn more about webpage cleaning, see the [Analyzing webpages](https://cloud.ibm.com/docs/services/natural-language-understanding/analyzing-webpages.html) documentation. :param str xpath: An [XPath query](https://cloud.ibm.com/docs/services/natural-language-understanding/analyzing-webpages.html#xpath) to perform on `html` or `url` input. Results of the query will be appended to the cleaned webpage text before it is analyzed. To analyze only the results of the XPath query, set the `clean` parameter to `false`. :param bool fallback_to_raw: Whether to use raw HTML content if text cleaning fails. :param bool return_analyzed_text: Whether or not to return the analyzed text. :param str language: ISO 639-1 code that specifies the language of your text. This overrides automatic language detection. Language support differs depending on the features you include in your analysis. See [Language support](https://www.bluemix.net/docs/services/natural-language-understanding/language-support.html) for more information. :param int limit_text_characters: Sets the maximum number of characters that are processed by the service. :param dict headers: A `dict` containing the request headers :return: A `DetailedResponse` containing the result, headers and HTTP status code. :rtype: DetailedResponse """


        if features is None:
            raise ValueError('features must be provided')
        features = self._convert_model(features, Features)

        headers = {}
        if 'headers' in kwargs:
            headers.update(kwargs.get('headers'))
        sdk_headers = get_sdk_headers('natural-language-understanding', 'V1',
                                      'analyze')
        headers.update(sdk_headers)

        params = {'version': self.version}

        data = {
            'features': features,
            'text': text,
            'html': html,
            'url': url,
            'clean': clean,
            'xpath': xpath,
            'fallback_to_raw': fallback_to_raw,
            'return_analyzed_text': return_analyzed_text,
            'language': language,
            'limit_text_characters': limit_text_characters
        }

        url = '/v1/analyze'
        response = self.request(
            method='POST',
            url=url,
            headers=headers,
            params=params,
            json=data,
            accept_json=True)
        return response