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:
Bono aseguró que no descartaba presentarse como diputado al Congreso en el futuro, aunque matizó que no deseaba dejar de ser presidente de Castilla-La Mancha para ser candidato a la Moncloa.
Postion	Tokenization
1	Bono
2	aseguró
3	que
4	no
5	descartaba
6	presentarse
7	presentar
8	se
9	como
10	diputado
11	al
12	Congreso
13	en
14	el
15	futuro
16	,
17	aunque
18	matizó
19	que
20	no
21	deseaba
22	dejar
23	de
24	ser
25	presidente
26	de
27	Castilla-La
28	Mancha
29	para
30	ser
31	candidato
32	a
33	la
34	Moncloa
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Bono	PROPN	2	nsubj
2	aseguró	VERB	0	root
3	que	SCONJ	5	mark
4	no	ADV	5	advmod
5	descartaba	VERB	2	ccomp
6	presentarse	_	None	_
7	presentar	VERB	5	xcomp
8	se	PRON	6	obj
9	como	SCONJ	9	mark
10	diputado	NOUN	6	obj
11	al	ADP	11	case
12	Congreso	PROPN	9	nmod
13	en	ADP	14	case
14	el	DET	14	det
15	futuro	NOUN	6	obl
16	,	PUNCT	17	punct
17	aunque	SCONJ	17	mark
18	matizó	VERB	2	advcl
19	que	SCONJ	20	mark
20	no	ADV	20	advmod
21	deseaba	VERB	17	ccomp
22	dejar	VERB	20	xcomp
23	de	ADP	24	case
24	ser	AUX	24	cop
25	presidente	NOUN	21	xcomp
26	de	ADP	26	case
27	Castilla-La	PROPN	24	nmod
28	Mancha	PROPN	26	flat
29	para	ADP	30	mark
30	ser	AUX	30	cop
31	candidato	NOUN	21	advcl
32	a	ADP	33	case
33	la	DET	33	det
34	Moncloa	PROPN	30	nmod
35	.	PUNCT	2	punct