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.

Example Input: Fitzbillies is a great coffee shop which sells Indian food. Prices ranging from £20-25. They have a high customer rating. Can be found in the city centre. No children allowed
Example Output: name[Fitzbillies], eatType[coffee shop], food[Indian], priceRange[£20-25], customer rating[high], area[city centre], familyFriendly[no]

Example Input: There is a cheap family restaurant located near The Bakers, called The Golden Curry. It provides English food.
Example Output: name[The Golden Curry], food[English], priceRange[cheap], familyFriendly[yes], near[The Bakers]

Example Input: The Rice Boat is a 1 star rating place  does not allow children.  It's far from the City centre
Example Output:
name[The Rice Boat], food[Japanese], customer rating[low], area[riverside], familyFriendly[no]