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.

[EX Q]: Near Café Adriatic in the riverside area is home to Travellers Rest Beefeater. They boost a high price range and a customer rating of 3 out of 5.
[EX A]: name[Travellers Rest Beefeater], priceRange[high], customer rating[3 out of 5], area[riverside], near[Café Adriatic]

[EX Q]: The Cambridge Blue is a pub that is low priced that offers wine, cheese, and grapes, and is located next to Café Brazil.
[EX A]: name[The Cambridge Blue], eatType[pub], food[French], priceRange[less than £20], near[Café Brazil]

[EX Q]: The Green Man restaurant is located on the outer skirts of the City center. near the River. Located near the All Bar One,  the restaurant boasts spirits as well as fine dining. Families are welcome.
[EX A]:
name[Green Man], food[French], priceRange[more than £30], area[riverside], familyFriendly[yes], near[All Bar One]