You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 menu
【Schema】
# Table: Menu
[
(id:INTEGER, Primary Key, Examples: [12463, 12464, 12465]),
(name:TEXT, Examples: [The Modern, Restaurant, El Fuerte Del Palmar]),
(sponsor:TEXT, Examples: [HOTEL EASTMAN]),
(event:TEXT, Examples: [BREAKFAST, [DINNER], FRUHSTUCK/BREAKFAST;]),
(venue:TEXT, Examples: [COMMERCIAL, SOC;, EDUC;]),
(place:TEXT, Examples: [HOT SPRINGS, AR]),
(physical_description:TEXT, Examples: [CARD; 4.75X7.5;]),
(occasion:TEXT, Examples: [EASTER;, ANNIVERSARY;, DAILY;]),
(notes:TEXT),
(call_number:TEXT, Examples: [1900-2822, 1900-2825, 1900-2827]),
(keywords:TEXT),
(language:TEXT),
(date:DATE, Examples: [1900-04-15]),
(location:TEXT, Examples: [Hotel Eastman]),
(location_type:TEXT),
(currency:TEXT, Examples: [Dollars, Cents, Francs]),
(currency_symbol:TEXT, Examples: [$, c, FF]),
(status:TEXT, Examples: [complete]),
(page_count:INTEGER, Examples: [2, 4, 12]),
(dish_count:INTEGER, Examples: [67, 34, 84])
]
# Table: MenuItem
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(menu_page_id:INTEGER, Examples: [1389, 3079, 1388]),
(price:REAL, Examples: [0.4, 0.6, 0.5]),
(high_price:REAL, Examples: [1.0, 3.0, 1.5]),
(dish_id:INTEGER, Examples: [1, 2, 3]),
(created_at:TEXT, Examples: [2011-03-28 15:00:44 UTC]),
(updated_at:TEXT, Examples: [2011-04-19 04:33:15 UTC]),
(xpos:REAL, Examples: [0.111429, 0.438571, 0.14]),
(ypos:REAL, Examples: [0.254735, 0.261922, 0.26272])
]
# Table: Dish
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [Consomme printaniere royal]),
(description:TEXT),
(menus_appeared:INTEGER, Examples: [8, 111, 14]),
(times_appeared:INTEGER, Examples: [8, 117, 14]),
(first_appeared:INTEGER, Examples: [1897, 1895, 1893]),
(last_appeared:INTEGER, Examples: [1927, 1960, 1917]),
(lowest_price:REAL, Examples: [0.2, 0.1, 0.25]),
(highest_price:REAL, Examples: [0.4, 0.8, 1.0])
]
# Table: MenuPage
[
(id:INTEGER, Primary Key, Examples: [119, 120, 121]),
(menu_id:INTEGER, Examples: [12460, 12461, 12462]),
(page_number:INTEGER, Examples: [1, 2, 3]),
(image_id:REAL, Examples: [1603595.0, 1603596.0, 1603597.0]),
(full_height:INTEGER, Examples: [7230, 5428, 3074]),
(full_width:INTEGER, Examples: [5428, 7230, 2046]),
(uuid:TEXT, Examples: [510d47e4-2955-a3d9-e040-e00a18064a99])
]
【Foreign keys】
MenuItem.dish_id=Dish.id
MenuItem.menu_page_id=MenuPage.id
MenuPage.menu_id=Menu.id

    【Question】
    What is the average number of dishes per menu in the Souper de Luxe menus? Identify what is the name of the dish that appeared the most in all of its menus. average number of dishes per menu = DIVIDE(COUNT(dish_id), COUNT(menu_page_id)); Souper de Luxe is a name of menu; dish that appeared the most in all of its menus refers to MAX(COUNT(dish_id));

    【Evidence】
    average number of dishes per menu = DIVIDE(COUNT(dish_id), COUNT(menu_page_id)); Souper de Luxe is a name of menu; dish that appeared the most in all of its menus refers to MAX(COUNT(dish_id));

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT COUNT(*), T1.dish_id FROM MenuItem AS T1 INNER JOIN MenuPage AS T2 ON T1.menu_page_id = T2.id INNER JOIN Menu AS T3 ON T2.menu_id = T3.id INNER JOIN Dish AS T4 ON T1.dish_id = T4.id WHERE T3.name = 'Souper de Luxe' GROUP BY T3.id ORDER BY COUNT(T1.dish_id) DESC LIMIT 1