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 gobernador de Texas mantuvo la actitud de dejar de lado los ataques específicos del vicepresidente de EEUU, e insistió en que había llegado el momento "de la unión" entre los partidos, al tiempo que ridiculizó "la política de Washington".
Postion	Tokenization
1	El
2	gobernador
3	de
4	Texas
5	mantuvo
6	la
7	actitud
8	de
9	dejar
10	de
11	lado
12	los
13	ataques
14	específicos
15	del
16	vicepresidente
17	de
18	EEUU
19	,
20	e
21	insistió
22	en
23	que
24	había
25	llegado
26	el
27	momento
28	"
29	de
30	la
31	unión
32	"
33	entre
34	los
35	partidos
36	,
37	al
38	tiempo
39	que
40	ridiculizó
41	"
42	la
43	política
44	de
45	Washington
46	"
47	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	gobernador	NOUN	5	nsubj
3	de	ADP	4	case
4	Texas	PROPN	2	nmod
5	mantuvo	VERB	0	root
6	la	DET	7	det
7	actitud	NOUN	5	obj
8	de	ADP	9	mark
9	dejar	VERB	7	acl
10	de	ADP	9	advmod
11	lado	NOUN	10	fixed
12	los	DET	13	det
13	ataques	NOUN	9	obj
14	específicos	ADJ	13	amod
15	del	ADP	16	case
16	vicepresidente	NOUN	13	nmod
17	de	ADP	18	case
18	EEUU	PROPN	16	nmod
19	,	PUNCT	37	punct
20	e	CCONJ	37	cc
21	insistió	VERB	37	parataxis
22	en	ADP	25	mark
23	que	SCONJ	25	mark
24	había	AUX	25	aux
25	llegado	VERB	21	ccomp
26	el	DET	27	det
27	momento	NOUN	25	nsubj
28	"	PUNCT	31	punct
29	de	ADP	31	case
30	la	DET	31	det
31	unión	NOUN	27	nmod
32	"	PUNCT	35	punct
33	entre	ADP	35	case
34	los	DET	35	det
35	partidos	NOUN	31	nmod
36	,	PUNCT	37	punct
37	al	ADP	5	conj
38	tiempo	NOUN	37	fixed
39	que	SCONJ	37	fixed
40	ridiculizó	VERB	37	parataxis
41	"	PUNCT	43	punct
42	la	DET	43	det
43	política	NOUN	40	obj
44	de	ADP	45	case
45	Washington	PROPN	43	nmod
46	"	PUNCT	43	punct
47	.	PUNCT	5	punct