I\'m building a NLP application and have been using the Stanford Parser for most of my parsing work, but I would like to start using Python.
So far, NLTK seems like
NLTK includes support for using the MaltParser, see nltk.parse.malt.MaltParser.
The pretrained English model for the MaltParser that's available here parses to the Stanford basic dependency representation. However, you would still need to call Stanford's JavaNLP code to convert the basic dependencies to the CCprocessed representation given above in your example parse.