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: The Cambridge Blue is a pub near Café Brazil that provides English food with a price range of more than £30.
Example Output: name[The Cambridge Blue], eatType[pub], food[English], priceRange[more than £30], near[Café Brazil]

Example Input: There is a one star mid priced family friendly coffee shop The Eagle near Burger King in the City centre. It offers Chinese food.
Example Output: name[The Eagle], eatType[coffee shop], food[Japanese], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[yes], near[Burger King]

Example Input: Located in riverside, The Rice Boat offers Indian cuisine.
Example Output:
name[The Rice Boat], food[Indian], area[riverside]