code: def any_locale_text_preprocessing(text: str) -> str:
      """
      Normalize unicode text with "NFC", and convert right single quotation mark (U+2019, decimal 8217) as an apostrophe.
  
      Args:
          text (str): the original input sentence.
  
      Returns: normalized text (str).
      """
      res = []
      for c in normalize_unicode_text(text):
          if c in [
              "’"
          ]:  # right single quotation mark (U+2019, decimal 8217) as an apostrophe
              res.append("'")
          else:
              res.append(c)
  
      return "".join(res)
  
file_path: NeMo/nemo/collections/common/tokenizers/text_to_speech/tokenizer_utils.py
imports: import re
  import unicodedata
  from builtins import str
  from typing import List, Tuple
label_desc: Use image node_id 2 for calling a global function with example usage: any_locale_text_preprocessing(text) and returns: str