In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer: 
 name: The Eagle,... 
 eatType: restaurant, coffee shop,... 
 food: French, Italian,... 
 priceRange: cheap, expensive,... 
 customerRating: 1 of 5 (low), 4 of 5 (high) 
 area: riverside, city center, ... 
 familyFriendly: Yes / No 
 near: Panda Express,...
 The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.

Input: Consider Input: The Plough is a high priced Indian pub near Café Rouge.

Output: name[The Plough], eatType[pub], food[Indian], priceRange[high], familyFriendly[no], near[Café Rouge]


Input: Consider Input: The Rice Boat is a children-friendly English restaurant near Express by Holiday Inn in the city centre with a high customer rating and price range more than L30.

Output: name[The Rice Boat], food[English], priceRange[more than £30], customer rating[high], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]


Input: Consider Input: There is a French coffee shop near Café Sicilia named The Punter which is not children friendly, has a low customer rating and has a price range more than £30.


Output: name[The Punter], eatType[coffee shop], food[French], priceRange[more than £30], customer rating[low], familyFriendly[no], near[Café Sicilia]