One of the fundamental tasks in natural language processing (NLP) is dependency parsing, which involves analyzing the grammatical structure of sentences by establishing relationships or dependencies between words. In this paper, we examine the difficulties and methods for performing dependency parsing for Bangla text, a language with complex morphology and distinctive syntactic properties. The article addresses the value of dependency parsing in capturing the linguistic subtleties of Bangla sentences and their applications in various NLP tasks. A method has been proposed to develop dependency parsing on Bangla text using a graph-based approach. A parsing tree is generated from a directed graph using Bangla input. The proposed system is achieved overall 68% accuracy which is evaluated using Bangla dependency corpus. This method enriches Bangla language linguistic resources and annotated corpora, facilitating the language’s global use. The resultant tree is also evaluated using evaluation metrics.