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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def parse(self, contents):
 """Parse the document. :param contents: The text contents of the document. :rtype: a *generator* of tokenized text. """

        i = 0
        for text in contents.split(self.delim):
            if not len(text.strip()):
                continue
            words = text.split()
            char_offsets = [0] + [
                int(_) for _ in np.cumsum([len(x) + 1 for x in words])[:-1]
            ]
            text = " ".join(words)
            yield {
                "text": text,
                "words": words,
                "pos_tags": [""] * len(words),
                "ner_tags": [""] * len(words),
                "lemmas": [""] * len(words),
                "dep_parents": [0] * len(words),
                "dep_labels": [""] * len(words),
                "char_offsets": char_offsets,
                "abs_char_offsets": char_offsets,
            }
            i += 1