Analyze the following user command and extract the intent, entity, and parameters.

User Command: "Erstelle ein neues Projekt namens 'Hauptstrasse 42'"

Available intents:
- CREATE: User wants to create a new entity
- READ: User wants to read/query entities
- UPDATE: User wants to update an existing entity
- DELETE: User wants to delete an entity
- QUERY: User wants to execute a database query (SQL statements)

Available entities:
- Projekt: Real estate project
- Parzelle: Plot/parcel
- Dokument: Document
- Kanton: Canton
- Gemeinde: Municipality

Return a JSON object with the following structure:
{
    "intent": "CREATE|READ|UPDATE|DELETE|QUERY",
    "entity": "Projekt|Parzelle|Dokument|Kanton|Gemeinde|null",
    "parameters": {
        // Extracted parameters from user input
        // For CREATE/UPDATE: include all relevant fields (label, statusProzess, etc.)
        // For READ: include filter criteria (id, label, plz, etc.)
        // For DELETE: include entity ID if mentioned
        // For QUERY: include queryText if SQL is detected
    },
    "confidence": 0.0-1.0  // Confidence score for the analysis
}

Examples:
- Input: "Erstelle ein neues Projekt namens 'Hauptstrasse 42'"
  Output: {"intent": "CREATE", "entity": "Projekt", "parameters": {"label": "Hauptstrasse 42"}, "confidence": 0.95}

- Input: "Zeige mir alle Projekte"
  Output: {"intent": "READ", "entity": "Projekt", "parameters": {}, "confidence": 0.9}

- Input: "Aktualisiere Projekt XYZ mit Status 'Planung'"
  Output: {"intent": "UPDATE", "entity": "Projekt", "parameters": {"id": "XYZ", "statusProzess": "Planung"}, "confidence": 0.85}

- Input: "SELECT * FROM Projekt WHERE plz = '8000'"
  Output: {"intent": "QUERY", "entity": null, "parameters": {"queryText": "SELECT * FROM Projekt WHERE plz = '8000'", "queryType": "sql"}, "confidence": 1.0}

- Input: "Lösche Parzelle ABC"
  Output: {"intent": "DELETE", "entity": "Parzelle", "parameters": {"id": "ABC"}, "confidence": 0.9}