code: def main():
      nlp = stanza.Pipeline(
          "en", processors="tokenize,pos,constituency"
      )
  
      doc = nlp("I like blue antennae.")
      print("{:C}".format(doc))
      process_doc(doc, classpath="$CLASSPATH")
      print("{:C}".format(doc))
  
      doc = nlp("And I cannot lie.")
      print("{:C}".format(doc))
      with DependencyConverter(classpath="$CLASSPATH") as converter:
          converter.process(doc)
          print("{:C}".format(doc))
  
file_path: stanza/stanza/server/dependency_converter.py
imports: import stanza
  from stanza.protobuf import DependencyConverterRequest, DependencyConverterResponse
  from stanza.server.java_protobuf_requests import send_request, build_tree, JavaProtobufContext
label_desc: Use image node_id 5 for calling a global function with example usage: main() without return types