code: def visualize_search_str(
      text: str,
      semgrex_queries: List[str],
      lang_code: str,
      start_match: int = 0,
      end_match: int = 11,
      pipe=None,
      render: bool = True,
      visualize_xpos: bool = False,
  ):
      """
      Visualizes the result of running Semgrex search on a string. The i-th element of
      the returned list is the HTML representation of the i-th sentence's dependency
      relationships. Only shows sentences that have a match on the Semgrex search.
  
      @param text: The string for which Semgrex search will be run on.
      @param semgrex_queries: A list of Semgrex queries to search for in the document.
      @param lang_code: A two letter language abbreviation for the language that the Stanza document is written in.
      @param start_match: Beginning of the splice for which to display elements with.
      @param end_match: End of the splice for which to display elements with.
      @param pipe: An NLP pipeline through which the text will be processed.
      @param render: A toggled option to render the HTML strings within the returned list.
      @param visualize_xpos: A toggled option to use xpos tags for part-of-speech labeling, defaulting to upos tags
  
      @return: A list of HTML strings representing the dependency relations of the doc object.
      """
      if pipe is None:
          nlp = stanza.Pipeline(
              lang_code, processors="tokenize, pos, lemma, depparse"
          )
      else:
          nlp = pipe
      doc = nlp(text)
      return visualize_search_doc(
          doc,
          semgrex_queries,
          lang_code,
          start_match=start_match,
          end_match=end_match,
          render=render,
          visualize_xpos=visualize_xpos,
      )
  
imports: import os
  import argparse
  import stanza
  import sys
  from stanza.server.semgrex import Semgrex
  from stanza.models.common.constant import is_right_to_left
  import spacy
  from spacy import displacy
  from spacy.tokens import Doc
  from IPython.display import display, HTML
  import typing
  from typing import List, Tuple, Any
  from utils import find_nth, round_base
label_desc: Use image node_id 5 for calling a global function with example usage: visualize_search_str(text, semgrex_queries, lang_code, start_match, end_match, pipe, render, visualize_xpos) and returns: visualize_search_doc