Subtask 1 of the UZH Shared Task 2026 asks for paragraph-level classification of UN resolutions as preambular or operative and multi-label tagging from a 141-code, 15-dimension taxonomy, scored by tag F1 and an open-weight LLM-as-Judge on reasoning quality. Two earlier pipelines we built failed in opposite ways. An embedding-retrieval system dropped relevant tags before the LLM saw them; a per-dimension prompting system was accurate but too slow to iterate. The submitted system fixes both. A deterministic French-English lexical classifier assigns paragraph types at type macro-F1 of 0.910 on the official silver standard with no LLM calls, and DeepSeek-R1-0528-Qwen3-8B predicts tags through a single merged prompt that exposes the full taxonomy.