This paper presents the organization, methodology, and outcomes of the Dependency Parsing shared task held within the fourth edition of EvaLatin, a campaign dedicated to the evaluation of Natural Language Processing tools for Latin. EvaLatin aims to promote and advance research in language technologies for Latin, fostering the development of robust and linguistically informed computational approaches. The paper provides a detailed description of the data released for the shared task. It also outlines the evaluation framework and metrics adopted for assessing system performance. The results achieved by participating teams are reported and comparatively analyzed, highlighting strengths, limitations, and emerging trends in current approaches to Latin dependency parsing. Finally, the paper discusses the main challenges posed by the task and suggests directions for future research in the field.