code: def pysbd_sentencizer(doc: Doc) -> Doc:
      """Adds sentence boundaries to a Doc.
      Intended to be used as a pipe in a spaCy pipeline.
      Uses https://github.com/nipunsadvilkar/pySBD to get proper sentence and
      respective char_spans
  
      Handle special cases:
      New lines cannot be end of sentence tokens.
      New lines that separate sentences will be added to the
      beginning of the next sentence.
  
      @param doc: the spaCy document to be annotated with sentence boundaries
      """
      segmenter = pysbd.Segmenter(
          language="en", clean=False, char_span=True
      )
      sents_char_spans: List[TextSpan] = segmenter.segment(doc.text)
  
      char_spans = [
          doc.char_span(
              sent_span.start,
              # strip off trailing spaces when creating spans to accomodate spacy
              sent_span.end
              - (len(sent_span.sent) - len(sent_span.sent.rstrip(" "))),
          )
          for sent_span in sents_char_spans
      ]
      start_token_char_offsets = [
          span[0].idx for span in char_spans if span is not None
      ]
      for token in doc:
          prev_token = token.nbor(-1) if token.i != 0 else None
          if token.idx in start_token_char_offsets:
              if prev_token and (
                  prev_token.text in ABBREVIATIONS
                  # Glom new lines at the beginning of the text onto the following sentence
                  or (
                      prev_token.i == 0
                      and all(c == "\n" for c in prev_token.text)
                  )
              ):
                  token.is_sent_start = False
              else:
                  token.is_sent_start = True
          # check if previous token contains more than 2 newline chars
          elif (
              prev_token
              and prev_token.i != 0
              and prev_token.text.count("\n") >= 2
          ):
              token.is_sent_start = True
          else:
              token.is_sent_start = False
      return doc
  
imports: from typing import List
  import pysbd
  from spacy.tokens import Doc
  from spacy.language import Language
  from pysbd.utils import TextSpan
  from scispacy.consts import ABBREVIATIONS
label_desc: Use image node_id 1 for calling a global function with example usage: pysbd_sentencizer(doc) and returns: doc