You can use stanford parser from NLTK. Check this link on how to use it - http://www.nltk.org/api/nltk.tag.html#module-nltk.tag.stanford
I guess it isn't problem with the stanford module in NLTK, it works well for me. Check your NLTK version. Older versions doesn't have stanford modules in it. Try the latest version of NLTK.
You can also use this python wrapper for stanford parser which is very efficient because of it varied approach.
https://bitbucket.org/torotoki/corenlp-python