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This paper presents a reproducible pipeline for building Universal Dependencies-style parsing resources for Katharevousa Greek parliamentary text, including OCR reconstruction, LLM-assisted annotation, and evaluation of multiple parsers. The best model (XLM-R) achieves 0.8893 UPOS accuracy and 0.5162 LAS, significantly outperforming off-the-shelf baselines.