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:
Desde la Xunta, a través de los centros gallegos, cuida mucho a los fillos de la patria que se fueron y, como son gente agradecida, la mayoría vota al PP.
Postion	Tokenization
1	Desde
2	la
3	Xunta
4	,
5	a
6	través
7	de
8	los
9	centros
10	gallegos
11	,
12	cuida
13	mucho
14	a
15	los
16	fillos
17	de
18	la
19	patria
20	que
21	se
22	fueron
23	y
24	,
25	como
26	son
27	gente
28	agradecida
29	,
30	la
31	mayoría
32	vota
33	al
34	PP
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Desde	ADP	3	case
2	la	DET	3	det
3	Xunta	PROPN	12	obl
4	,	PUNCT	9	punct
5	a	ADP	9	case
6	través	NOUN	5	fixed
7	de	ADP	5	fixed
8	los	DET	9	det
9	centros	NOUN	12	obl
10	gallegos	ADJ	9	amod
11	,	PUNCT	9	punct
12	cuida	VERB	0	root
13	mucho	ADV	12	advmod
14	a	ADP	16	case
15	los	DET	16	det
16	fillos	NOUN	12	obj
17	de	ADP	19	case
18	la	DET	19	det
19	patria	NOUN	16	nmod
20	que	PRON	22	nsubj
21	se	PRON	22	expl:pv
22	fueron	VERB	16	acl
23	y	CCONJ	32	cc
24	,	PUNCT	27	punct
25	como	SCONJ	27	mark
26	son	AUX	27	cop
27	gente	NOUN	32	advcl
28	agradecida	ADJ	27	amod
29	,	PUNCT	27	punct
30	la	DET	31	det
31	mayoría	NOUN	32	nsubj
32	vota	VERB	12	conj
33	al	ADP	34	case
34	PP	PROPN	32	obj
35	.	PUNCT	12	punct