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:
Los observadores temen que las presiones políticas y la compra o coacción del voto, puedan incidir a favor del PRI, principalmente en las zonas rurales, aunque admiten que "es difícil comprobarlo".
Postion	Tokenization
1	Los
2	observadores
3	temen
4	que
5	las
6	presiones
7	políticas
8	y
9	la
10	compra
11	o
12	coacción
13	del
14	voto
15	,
16	puedan
17	incidir
18	a
19	favor
20	del
21	PRI
22	,
23	principalmente
24	en
25	las
26	zonas
27	rurales
28	,
29	aunque
30	admiten
31	que
32	"
33	es
34	difícil
35	comprobarlo
36	comprobar
37	lo
38	"
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	observadores	NOUN	3	nsubj
3	temen	VERB	0	root
4	que	SCONJ	17	mark
5	las	DET	6	det
6	presiones	NOUN	17	nsubj
7	políticas	ADJ	6	amod
8	y	CCONJ	10	cc
9	la	DET	10	det
10	compra	NOUN	6	conj
11	o	CCONJ	12	cc
12	coacción	NOUN	10	conj
13	del	ADP	14	case
14	voto	NOUN	10	nmod
15	,	PUNCT	6	punct
16	puedan	AUX	17	aux
17	incidir	VERB	3	xcomp
18	a	ADP	21	case
19	favor	NOUN	18	fixed
20	del	ADP	18	fixed
21	PRI	PROPN	17	obl
22	,	PUNCT	23	punct
23	principalmente	ADV	17	advmod
24	en	ADP	23	case
25	las	DET	26	det
26	zonas	NOUN	23	nmod
27	rurales	ADJ	26	amod
28	,	PUNCT	23	punct
29	aunque	SCONJ	30	mark
30	admiten	VERB	3	advcl
31	que	SCONJ	34	mark
32	"	PUNCT	34	punct
33	es	AUX	34	cop
34	difícil	ADJ	30	ccomp
35	comprobarlo	_	None	_
36	comprobar	VERB	34	csubj
37	lo	PRON	35	obj
38	"	PUNCT	34	punct
39	.	PUNCT	3	punct