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:
En los pequeños pueblos el voto mayoritario también tuvo color popular como en La Hiruela el más pequeño de la región, con 28 electores, de los cuales más del 63 por ciento dio su confianza al PP o en La Acebeda donde casi el 90 por ciento de sus 56 electores votó al Partido Popular.
Postion	Tokenization
1	En
2	los
3	pequeños
4	pueblos
5	el
6	voto
7	mayoritario
8	también
9	tuvo
10	color
11	popular
12	como
13	en
14	La
15	Hiruela
16	el
17	más
18	pequeño
19	de
20	la
21	región
22	,
23	con
24	28
25	electores
26	,
27	de
28	los
29	cuales
30	más
31	del
32	63
33	por
34	ciento
35	dio
36	su
37	confianza
38	al
39	PP
40	o
41	en
42	La
43	Acebeda
44	donde
45	casi
46	el
47	90
48	por
49	ciento
50	de
51	sus
52	56
53	electores
54	votó
55	al
56	Partido
57	Popular
58	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	los	DET	4	det
3	pequeños	ADJ	4	amod
4	pueblos	NOUN	9	obl
5	el	DET	6	det
6	voto	NOUN	9	nsubj
7	mayoritario	ADJ	6	amod
8	también	ADV	9	advmod
9	tuvo	VERB	0	root
10	color	NOUN	9	obj
11	popular	ADJ	10	amod
12	como	SCONJ	15	mark
13	en	ADP	15	case
14	La	DET	15	det
15	Hiruela	PROPN	9	obl
16	el	DET	18	det
17	más	ADV	18	advmod
18	pequeño	ADJ	14	appos
19	de	ADP	21	case
20	la	DET	21	det
21	región	NOUN	18	nmod
22	,	PUNCT	25	punct
23	con	ADP	25	case
24	28	NUM	25	nummod
25	electores	NOUN	14	nmod
26	,	PUNCT	35	punct
27	de	ADP	29	case
28	los	DET	29	det
29	cuales	PRON	35	obj
30	más	ADV	32	advmod
31	del	ADP	30	case
32	63	NUM	35	nsubj
33	por	ADP	34	case
34	ciento	NUM	32	compound
35	dio	VERB	25	acl
36	su	DET	37	det
37	confianza	NOUN	35	obj
38	al	ADP	39	case
39	PP	PROPN	35	obj
40	o	CCONJ	43	cc
41	en	ADP	43	case
42	La	DET	43	det
43	Acebeda	PROPN	15	conj
44	donde	PRON	54	obl
45	casi	ADV	47	advmod
46	el	DET	47	det
47	90	NUM	54	nsubj
48	por	ADP	49	case
49	ciento	NUM	47	compound
50	de	ADP	53	case
51	sus	PRON	52	nmod
52	56	NUM	53	nummod
53	electores	NOUN	47	nmod
54	votó	VERB	42	acl
55	al	ADP	56	case
56	Partido	PROPN	54	obj
57	Popular	PROPN	56	flat
58	.	PUNCT	9	punct