As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following tokenized text:
El uso de granulados "se ha extendido tanto que incluso se estandarizó su gusto en hogares, fondas, cocinas económicas y restaurantes, olvidando la rica tradición culinaria mexicana", agregó.
Postion	Tokenization
1	El
2	uso
3	de
4	granulados
5	"
6	se
7	ha
8	extendido
9	tanto
10	que
11	incluso
12	se
13	estandarizó
14	su
15	gusto
16	en
17	hogares
18	,
19	fondas
20	,
21	cocinas
22	económicas
23	y
24	restaurantes
25	,
26	olvidando
27	la
28	rica
29	tradición
30	culinaria
31	mexicana
32	"
33	,
34	agregó
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	uso	NOUN	8	nsubj
3	de	ADP	4	case
4	granulados	NOUN	2	nmod
5	"	PUNCT	8	punct
6	se	PRON	8	expl:pv
7	ha	AUX	8	aux
8	extendido	VERB	34	ccomp
9	tanto	ADV	8	advmod
10	que	SCONJ	13	mark
11	incluso	ADV	13	advmod
12	se	PRON	13	expl:pass
13	estandarizó	VERB	9	advcl
14	su	DET	15	det
15	gusto	NOUN	13	nsubj
16	en	ADP	17	case
17	hogares	NOUN	13	obl
18	,	PUNCT	19	punct
19	fondas	NOUN	17	conj
20	,	PUNCT	21	punct
21	cocinas	NOUN	17	conj
22	económicas	ADJ	21	amod
23	y	CCONJ	24	cc
24	restaurantes	NOUN	17	conj
25	,	PUNCT	26	punct
26	olvidando	VERB	13	advcl
27	la	DET	29	det
28	rica	ADJ	29	amod
29	tradición	NOUN	26	obj
30	culinaria	ADJ	29	amod
31	mexicana	ADJ	29	amod
32	"	PUNCT	8	punct
33	,	PUNCT	8	punct
34	agregó	VERB	0	root
35	.	PUNCT	34	punct