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 Waterman cooks up moderate priced English cuisine on the riverside. Its kids friendly but has a 1 out of 5 average customer rating.

Output: name[The Waterman], food[English], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[yes]


Input: Consider Input: Fitzbillies is a cheap Indian food spot, it's a coffee shop style place near Riverside with average ratings and it's family friendly.

Output: name[Fitzbillies], eatType[coffee shop], food[Indian], priceRange[cheap], customer rating[average], area[riverside], familyFriendly[no]


Input: Consider Input: Strada is a low-priced restaurant close to the Rainbow Vegetarian Café that provides fast foods and is family friendly.


Output: name[Strada], food[Fast food], priceRange[less than £20], customer rating[low], familyFriendly[yes], near[Rainbow Vegetarian Café]