Abstract Quranic Arabic has motivated sustained morphological and syntactic annotation, yet Quranic treebanks remain hard to compare and reuse in modern natural language processing (NLP) because they diverge in clitic segmentation, feature inventories, and syntactic formalisms. We present UD-Quran, a Universal Dependencies (UD) v2 conversion of the Extended Quranic Treebank with hybrid syntactic annotations (EQTB). The conversion treats EQTB morpho-syntactic segments as UD tokens, maps EQTB part-of-speech (POS) categories to 12 UD universal part-of-speech (UPOS) tags, derives UD features from explicit EQTB columns, and collapses EQTB dependency labels into a compact UD relation inventory with deterministic normalization aligned to UD content-head conventions. Two releases are provided: a surface variant aligned to the observable Quranic string by excluding analytically inserted nodes, and an augmented variant that retains inserted material to preserve EQTB’s modeling of ellipsis and implied pronominals. The surface release contains 11,693 sentences and 128,219 UD tokens; the augmented release contains 139,376 tokens. Conversion coverage is quantified by restricting unspecified dependency (dep) to 1,129 tokens (0.881% of surface tokens). UD-Quran includes fixed training/development/test (train/dev/test) splits (seed 42) and lightweight Stanza baselines scored with the CoNLL (Conference on Computational Natural Language Learning) 2018 UD evaluation script. On the test sets, parsing with gold tags reaches labeled attachment score (LAS) 80.66 (surface) and 82.47 (augmented), while the end-to-end pipeline reaches LAS 64.52 and 68.54. UD-Quran is intended as an interoperability layer that supports standard UD tooling while preserving sentence-level traceability to EQTB.