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: Strada is a mid-priced family friendly restaurant near the Rainbow Vegetarian Café.
Example Output: name[Strada], food[Italian], priceRange[moderate], customer rating[1 out of 5], familyFriendly[yes], near[Rainbow Vegetarian Café]

Example Input: Zizzi is a restaurant with prices more than £30. It is located in the city centre.
Example Output: name[Zizzi], eatType[restaurant], priceRange[more than £30], area[city centre]

Example Input: The Phoenix is a very well-respected restaurant in the city centre that serves gourmet Chinese cuisine.
Example Output:
name[The Phoenix], food[Chinese], priceRange[more than £30], customer rating[high], area[city centre]