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:
A pesar del entusiasmo que el gobernador de Texas exhibió en todo momento, algo que tienen la obligación de mostrar los candidatos, sus asesores mantienen la prudencia ante lo igualado de las encuestas.
Postion	Tokenization
1	A
2	pesar
3	del
4	entusiasmo
5	que
6	el
7	gobernador
8	de
9	Texas
10	exhibió
11	en
12	todo
13	momento
14	,
15	algo
16	que
17	tienen
18	la
19	obligación
20	de
21	mostrar
22	los
23	candidatos
24	,
25	sus
26	asesores
27	mantienen
28	la
29	prudencia
30	ante
31	lo
32	igualado
33	de
34	las
35	encuestas
36	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	4	case
2	pesar	NOUN	1	fixed
3	del	ADP	1	fixed
4	entusiasmo	NOUN	27	obl
5	que	PRON	10	obj
6	el	DET	7	det
7	gobernador	NOUN	10	nsubj
8	de	ADP	9	case
9	Texas	PROPN	7	nmod
10	exhibió	VERB	4	acl
11	en	ADP	13	case
12	todo	DET	13	det
13	momento	NOUN	10	obl
14	,	PUNCT	15	punct
15	algo	PRON	4	obl
16	que	PRON	17	obj
17	tienen	VERB	15	acl
18	la	DET	19	det
19	obligación	NOUN	17	obj
20	de	ADP	21	mark
21	mostrar	VERB	19	acl
22	los	DET	23	det
23	candidatos	NOUN	17	nsubj
24	,	PUNCT	4	punct
25	sus	DET	26	det
26	asesores	NOUN	27	nsubj
27	mantienen	VERB	0	root
28	la	DET	29	det
29	prudencia	NOUN	27	obj
30	ante	ADP	32	case
31	lo	PRON	32	det
32	igualado	ADJ	27	advmod
33	de	ADP	35	case
34	las	DET	35	det
35	encuestas	NOUN	32	nmod
36	.	PUNCT	27	punct