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:
El esperado debate entre Gore y Bush se desarrolló en un ambiente de mayor agresividad a tres semanas de las elecciones del 7 de noviembre y con unas diferencias mínimas en las intenciones de voto.
Postion	Tokenization
1	El
2	esperado
3	debate
4	entre
5	Gore
6	y
7	Bush
8	se
9	desarrolló
10	en
11	un
12	ambiente
13	de
14	mayor
15	agresividad
16	a
17	tres
18	semanas
19	de
20	las
21	elecciones
22	del
23	7
24	de
25	noviembre
26	y
27	con
28	unas
29	diferencias
30	mínimas
31	en
32	las
33	intenciones
34	de
35	voto
36	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	esperado	ADJ	3	amod
3	debate	NOUN	9	nsubj
4	entre	ADP	5	case
5	Gore	PROPN	3	nmod
6	y	CCONJ	7	cc
7	Bush	PROPN	5	conj
8	se	PRON	9	expl:pv
9	desarrolló	VERB	0	root
10	en	ADP	12	case
11	un	DET	12	det
12	ambiente	NOUN	9	obl
13	de	ADP	15	case
14	mayor	ADJ	15	amod
15	agresividad	NOUN	12	nmod
16	a	ADP	18	case
17	tres	NUM	18	nummod
18	semanas	NOUN	9	obl
19	de	ADP	21	case
20	las	DET	21	det
21	elecciones	NOUN	18	nmod
22	del	ADP	23	case
23	7	NUM	21	nmod
24	de	ADP	25	case
25	noviembre	NOUN	23	compound
26	y	CCONJ	29	cc
27	con	ADP	29	case
28	unas	DET	29	det
29	diferencias	NOUN	18	conj
30	mínimas	ADJ	29	amod
31	en	ADP	33	case
32	las	DET	33	det
33	intenciones	NOUN	29	nmod
34	de	ADP	35	case
35	voto	NOUN	33	nmod
36	.	PUNCT	9	punct