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:
Además, es "previsible" que durante el próximo ejercicio el Tesoro vuelva a recomprar valores en el mercado secundario, para minimizar el coste y, al mismo tiempo, garantizar un elevado grado de transparencia que evite distorsiones en el mercado.
Postion	Tokenization
1	Además
2	,
3	es
4	"
5	previsible
6	"
7	que
8	durante
9	el
10	próximo
11	ejercicio
12	el
13	Tesoro
14	vuelva
15	a
16	recomprar
17	valores
18	en
19	el
20	mercado
21	secundario
22	,
23	para
24	minimizar
25	el
26	coste
27	y
28	,
29	al
30	mismo
31	tiempo
32	,
33	garantizar
34	un
35	elevado
36	grado
37	de
38	transparencia
39	que
40	evite
41	distorsiones
42	en
43	el
44	mercado
45	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	5	advmod
2	,	PUNCT	1	punct
3	es	AUX	5	cop
4	"	PUNCT	5	punct
5	previsible	ADJ	0	root
6	"	PUNCT	5	punct
7	que	SCONJ	14	mark
8	durante	ADP	11	case
9	el	DET	11	det
10	próximo	ADJ	11	amod
11	ejercicio	NOUN	14	obl
12	el	DET	13	det
13	Tesoro	PROPN	14	nsubj
14	vuelva	VERB	5	csubj
15	a	ADP	16	mark
16	recomprar	VERB	14	xcomp
17	valores	NOUN	14	obj
18	en	ADP	20	case
19	el	DET	20	det
20	mercado	NOUN	14	obl
21	secundario	ADJ	20	amod
22	,	PUNCT	24	punct
23	para	ADP	24	mark
24	minimizar	VERB	16	advcl
25	el	DET	26	det
26	coste	NOUN	24	obj
27	y	CCONJ	33	cc
28	,	PUNCT	29	punct
29	al	ADP	33	advmod
30	mismo	ADJ	29	fixed
31	tiempo	NOUN	29	fixed
32	,	PUNCT	29	punct
33	garantizar	VERB	24	conj
34	un	DET	36	det
35	elevado	ADJ	36	amod
36	grado	NOUN	33	obj
37	de	ADP	38	case
38	transparencia	NOUN	36	nmod
39	que	PRON	40	nsubj
40	evite	VERB	36	acl
41	distorsiones	NOUN	40	obj
42	en	ADP	44	case
43	el	DET	44	det
44	mercado	NOUN	41	nmod
45	.	PUNCT	5	punct