for index in range(0, len(base_parse)):
            # Grabbing sentence information
            raw_data = str(base_sentences[index])
            pos_sentence = pos_parser.tag(str(base_sentences[index]))
            subject, verb, object, prepositional_phrases = self.identify_sentence_parts_nlpnet(base_parse[index].tokens, base_parse[index].labels)