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 debate sobre el estado de la nación será la prueba de fuego para medir las posibilidades de Joaquín Almunia para convertirse en el candidato del PSOE a la presidencia del Gobierno.
Postion	Tokenization
1	El
2	debate
3	sobre
4	el
5	estado
6	de
7	la
8	nación
9	será
10	la
11	prueba
12	de
13	fuego
14	para
15	medir
16	las
17	posibilidades
18	de
19	Joaquín
20	Almunia
21	para
22	convertirse
23	convertir
24	se
25	en
26	el
27	candidato
28	del
29	PSOE
30	a
31	la
32	presidencia
33	del
34	Gobierno
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	debate	NOUN	11	nsubj
3	sobre	ADP	5	case
4	el	DET	5	det
5	estado	NOUN	2	nmod
6	de	ADP	8	case
7	la	DET	8	det
8	nación	NOUN	5	nmod
9	será	AUX	11	cop
10	la	DET	11	det
11	prueba	NOUN	0	root
12	de	ADP	13	case
13	fuego	NOUN	11	nmod
14	para	ADP	15	mark
15	medir	VERB	11	acl
16	las	DET	17	det
17	posibilidades	NOUN	15	obj
18	de	ADP	19	case
19	Joaquín	PROPN	17	nmod
20	Almunia	PROPN	19	flat
21	para	ADP	22	mark
22	convertirse	_	None	_
23	convertir	VERB	17	acl
24	se	PRON	22	expl:pv
25	en	ADP	26	case
26	el	DET	26	det
27	candidato	NOUN	22	obj
28	del	ADP	28	case
29	PSOE	PROPN	26	nmod
30	a	ADP	31	case
31	la	DET	31	det
32	presidencia	NOUN	26	nmod
33	del	ADP	33	case
34	Gobierno	PROPN	31	nmod
35	.	PUNCT	11	punct