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 Tesoro prevé amortizar deuda el próximo año por importe de 9,3 billones de pesetas, un 21 por ciento menos que este ejercicio, gracias a la política de alargamiento de la vida media de los títulos.
Postion	Tokenization
1	El
2	Tesoro
3	prevé
4	amortizar
5	deuda
6	el
7	próximo
8	año
9	por
10	importe
11	de
12	9,3
13	billones
14	de
15	pesetas
16	,
17	un
18	21
19	por
20	ciento
21	menos
22	que
23	este
24	ejercicio
25	,
26	gracias
27	a
28	la
29	política
30	de
31	alargamiento
32	de
33	la
34	vida
35	media
36	de
37	los
38	títulos
39	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Tesoro	PROPN	3	nsubj
3	prevé	VERB	0	root
4	amortizar	VERB	3	xcomp
5	deuda	NOUN	4	obj
6	el	DET	8	det
7	próximo	ADJ	8	amod
8	año	NOUN	4	obl
9	por	ADP	10	case
10	importe	NOUN	4	obl
11	de	ADP	13	case
12	9,3	NUM	13	nummod
13	billones	NOUN	10	nmod
14	de	ADP	15	case
15	pesetas	NOUN	13	nmod
16	,	PUNCT	18	punct
17	un	DET	18	det
18	21	NUM	13	appos
19	por	ADP	20	case
20	ciento	NUM	18	compound
21	menos	ADV	18	advmod
22	que	SCONJ	24	mark
23	este	DET	24	det
24	ejercicio	NOUN	18	obl
25	,	PUNCT	29	punct
26	gracias	NOUN	29	case
27	a	ADP	26	fixed
28	la	DET	29	det
29	política	NOUN	4	obl
30	de	ADP	31	case
31	alargamiento	NOUN	29	nmod
32	de	ADP	34	case
33	la	DET	34	det
34	vida	NOUN	31	nmod
35	media	ADJ	34	amod
36	de	ADP	38	case
37	los	DET	38	det
38	títulos	NOUN	34	nmod
39	.	PUNCT	3	punct