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: For Chinese food go to Cotto in the city center near Café Rouge.
Example Output: name[Cotto], food[Chinese], near[Café Rouge]

Example Input: The Golden Curry is an English children friendly restaurant , located near The Bakers. Prices range to more than £30.
Example Output: name[The Golden Curry], food[English], priceRange[more than £30], familyFriendly[yes], near[The Bakers]

Example Input: The Olive Grove offers Japanese food for less than 20 pounds. It is family friendly and on the riverside.
Example Output:
name[The Olive Grove], eatType[pub], food[Japanese], priceRange[less than £20], area[riverside], familyFriendly[yes]