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:
Hipólito Mejía, candidato del Partido Revolucionario Dominicano (PRD, socialdemócrata), en la oposición, y Danilo Medina, candidato del partido del Gobierno, aspiran a lograr el respaldo de Balaguer, que ha sido siete veces presidente y aspira a ganar los comicios "para hacer lo mejor por el país".
Postion	Tokenization
1	Hipólito
2	Mejía
3	,
4	candidato
5	del
6	Partido
7	Revolucionario
8	Dominicano
9	(
10	PRD
11	,
12	socialdemócrata
13	)
14	,
15	en
16	la
17	oposición
18	,
19	y
20	Danilo
21	Medina
22	,
23	candidato
24	del
25	partido
26	del
27	Gobierno
28	,
29	aspiran
30	a
31	lograr
32	el
33	respaldo
34	de
35	Balaguer
36	,
37	que
38	ha
39	sido
40	siete
41	veces
42	presidente
43	y
44	aspira
45	a
46	ganar
47	los
48	comicios
49	"
50	para
51	hacer
52	lo
53	mejor
54	por
55	el
56	país
57	"
58	.
Position	Tokenization	UPOS	Head	Deprel
1	Hipólito	PROPN	29	nsubj
2	Mejía	PROPN	1	flat
3	,	PUNCT	4	punct
4	candidato	NOUN	1	appos
5	del	ADP	6	case
6	Partido	PROPN	4	nmod
7	Revolucionario	PROPN	6	flat
8	Dominicano	PROPN	6	flat
9	(	PUNCT	10	punct
10	PRD	PROPN	6	flat
11	,	PUNCT	12	punct
12	socialdemócrata	ADJ	10	amod
13	)	PUNCT	10	punct
14	,	PUNCT	17	punct
15	en	ADP	17	case
16	la	DET	17	det
17	oposición	NOUN	4	nmod
18	,	PUNCT	17	punct
19	y	CCONJ	20	cc
20	Danilo	PROPN	1	conj
21	Medina	PROPN	20	flat
22	,	PUNCT	23	punct
23	candidato	NOUN	20	appos
24	del	ADP	25	case
25	partido	NOUN	23	nmod
26	del	ADP	27	case
27	Gobierno	PROPN	25	nmod
28	,	PUNCT	23	punct
29	aspiran	VERB	0	root
30	a	ADP	31	mark
31	lograr	VERB	29	xcomp
32	el	DET	33	det
33	respaldo	NOUN	31	obj
34	de	ADP	35	case
35	Balaguer	PROPN	33	nmod
36	,	PUNCT	42	punct
37	que	PRON	42	nsubj
38	ha	AUX	42	aux
39	sido	AUX	42	cop
40	siete	NUM	41	nummod
41	veces	NOUN	42	obl
42	presidente	NOUN	35	acl
43	y	CCONJ	44	cc
44	aspira	VERB	42	conj
45	a	ADP	46	mark
46	ganar	VERB	44	xcomp
47	los	DET	48	det
48	comicios	NOUN	46	obj
49	"	PUNCT	51	punct
50	para	ADP	51	mark
51	hacer	VERB	44	advcl
52	lo	PRON	53	det
53	mejor	ADJ	51	obj
54	por	ADP	56	case
55	el	DET	56	det
56	país	NOUN	51	obl
57	"	PUNCT	51	punct
58	.	PUNCT	29	punct