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 una intervención ante militantes populares en el hotel de la capital malagueña elegido como sede de la noche electoral del PP, Villalobos dio las gracias "a los militantes de muchos años que hoy tienen una emoción especial", y se confesó también "especialmente emocionada" en sus quintas elecciones generales.
Postion	Tokenization
1	En
2	una
3	intervención
4	ante
5	militantes
6	populares
7	en
8	el
9	hotel
10	de
11	la
12	capital
13	malagueña
14	elegido
15	como
16	sede
17	de
18	la
19	noche
20	electoral
21	del
22	PP
23	,
24	Villalobos
25	dio
26	las
27	gracias
28	"
29	a
30	los
31	militantes
32	de
33	muchos
34	años
35	que
36	hoy
37	tienen
38	una
39	emoción
40	especial
41	"
42	,
43	y
44	se
45	confesó
46	también
47	"
48	especialmente
49	emocionada
50	"
51	en
52	sus
53	quintas
54	elecciones
55	generales
56	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	una	DET	3	det
3	intervención	NOUN	25	obl
4	ante	ADP	5	case
5	militantes	NOUN	3	nmod
6	populares	ADJ	5	amod
7	en	ADP	9	case
8	el	DET	9	det
9	hotel	NOUN	3	nmod
10	de	ADP	12	case
11	la	DET	12	det
12	capital	NOUN	9	nmod
13	malagueña	ADJ	12	amod
14	elegido	ADJ	9	amod
15	como	SCONJ	16	mark
16	sede	NOUN	14	obj
17	de	ADP	19	case
18	la	DET	19	det
19	noche	NOUN	16	nmod
20	electoral	ADJ	19	amod
21	del	ADP	22	case
22	PP	PROPN	19	nmod
23	,	PUNCT	3	punct
24	Villalobos	PROPN	25	nsubj
25	dio	VERB	0	root
26	las	DET	27	det
27	gracias	NOUN	25	obj
28	"	PUNCT	31	punct
29	a	ADP	31	case
30	los	DET	31	det
31	militantes	NOUN	25	obj
32	de	ADP	34	case
33	muchos	DET	34	det
34	años	NOUN	31	nmod
35	que	PRON	37	nsubj
36	hoy	ADV	37	advmod
37	tienen	VERB	31	acl
38	una	DET	39	det
39	emoción	NOUN	37	obj
40	especial	ADJ	39	amod
41	"	PUNCT	31	punct
42	,	PUNCT	31	punct
43	y	CCONJ	45	cc
44	se	PRON	45	expl:pv
45	confesó	VERB	25	conj
46	también	ADV	45	advmod
47	"	PUNCT	49	punct
48	especialmente	ADV	49	advmod
49	emocionada	ADJ	45	obj
50	"	PUNCT	49	punct
51	en	ADP	54	case
52	sus	DET	54	det
53	quintas	ADJ	54	amod
54	elecciones	NOUN	45	obl
55	generales	ADJ	54	amod
56	.	PUNCT	25	punct