A novel method for hybrid graph-based dependency parsing of natural language text is proposed. It is based on k-best maximum spanning tree dependency parsing and evaluation of the spanning trees by using a verb valency lexicon for a given language as a reranking knowledge base. The approach is compared with existing state-of-the-art transition-based and graph-based approaches to dependency parsing. As the proposed generic method was developed specifically for improving the accuracy of Croatian dependency parsing, Croatian Dependency Treebank and CROVALLEX verb valency lexicon are used in the experiment. The suggested approach scored approximately 77.21 % LAS, outperforming the tested state-of-the-art approaches by at least 2.68 % LAS. TITLE AND ABSTRACT IN CROATIAN Ovisnosno parsanje pomoću k najboljih razapinjućih stabala i ponovnoga vrjednovanja valencijskim rječnikom glagola Predlaže se novi pristup hibridnom ovisnosnom parsanju tekstova prirodnoga jezika temeljenom na teoriji grafova. Pristup je zasnovan na ovisnosnom parsanju pomoću k najboljih razapinjućih