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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_second_row(row, url):
 """ Static method that parses a given table row element by using helper methods `Parser.parse_category_subcategory_and_or_quality`, `Parser.parse_torrent_link` and scrapping torrent's category, subcategory, quality, language, user, user url, torrent link, size, comments, times completed, seeders and leechers. Used specifically with a torrent's second table row. :param lxml.HtmlElement row: row to parse :param urls.Url url_instance: Url used to combine base url's with scrapped links from tr :return: scrapped category, subcategory, quality, language, user, user url, torrent link, size, comments, times completed, seeders and leechers :rtype: list """

        tags = row.findall('./td')
        category, subcategory, quality, language = Parser.parse_torrent_properties(tags[0])
        user_info = tags[1].find('./a')
        user = user_info.text_content()
        user_url = url.combine(user_info.get('href'))

        # Two urls - one is spam, second is torrent url.
        # Don't combine it with BASE_URL, since it's an absolute url.
        torrent_link = Parser.parse_torrent_link(tags[2])
        size = tags[3].text  # as 10.5 GB
        comments = tags[4].text
        times_completed = tags[5].text
        seeders = tags[6].text
        leechers = tags[7].text
        return [category, subcategory, quality, language, user, user_url, torrent_link,
                size, comments, times_completed, seeders, leechers]