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: Zizzi is a coffee Shop have 3 out of 5 costumer rating, and £20-26 price range. It is located in city center.
Example Output: name[Zizzi], eatType[coffee shop], priceRange[£20-25], customer rating[3 out of 5], area[city centre], familyFriendly[no]

Example Input: Strada offers low quality Indian food at a cost of less than £20 in a non-family friendly atmosphere near Rainbow Vegetarian Café.
Example Output: name[Strada], food[Indian], priceRange[less than £20], customer rating[low], familyFriendly[no], near[Rainbow Vegetarian Café]

Example Input: The Waterman serves cheap priced English food in the city centre area. It is family-friendly with a 5 out of 5 customer rating.
Example Output:
name[The Waterman], food[English], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[yes]