Using the IAHLT CONLLU tagged Hebrew sentences corpus, I created a Python program that reads the file using the pyconll library. Through a costum object I made - "token_dictionary", I was able to create a dataframe which holds a frequency dictionary of all the words in the corpus which have the same "POS" and "relation" properties.
The token_dictionary has various methods that allow for interesting data extractions and visualizations.
Further explanation can be found in the notebook.