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 30 de enero, la juez concedió al financiero 20 días para que sustituyera dos avales de 300.506 euros (50 millones de pesetas) y 480.809 euros (80 millones de pesetas), librados, respectivamente, por el Banco Zaragozano y el Banco Bilbao Vizcaya, para garantizar su libertad.
Postion	Tokenization
1	El
2	30
3	de
4	enero
5	,
6	la
7	juez
8	concedió
9	al
10	financiero
11	20
12	días
13	para
14	que
15	sustituyera
16	dos
17	avales
18	de
19	300.506
20	euros
21	(
22	50
23	millones
24	de
25	pesetas
26	)
27	y
28	480.809
29	euros
30	(
31	80
32	millones
33	de
34	pesetas
35	)
36	,
37	librados
38	,
39	respectivamente
40	,
41	por
42	el
43	Banco
44	Zaragozano
45	y
46	el
47	Banco
48	Bilbao
49	Vizcaya
50	,
51	para
52	garantizar
53	su
54	libertad
55	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	30	NUM	8	obl
3	de	ADP	4	case
4	enero	NOUN	2	compound
5	,	PUNCT	2	punct
6	la	DET	7	det
7	juez	NOUN	8	nsubj
8	concedió	VERB	0	root
9	al	ADP	10	case
10	financiero	NOUN	8	obj
11	20	NUM	12	nummod
12	días	NOUN	8	obj
13	para	ADP	15	mark
14	que	SCONJ	15	mark
15	sustituyera	VERB	8	advcl
16	dos	NUM	17	nummod
17	avales	NOUN	15	obj
18	de	ADP	20	case
19	300.506	NUM	20	nummod
20	euros	NOUN	17	nmod
21	(	PUNCT	23	punct
22	50	NUM	23	nummod
23	millones	NOUN	20	appos
24	de	ADP	25	case
25	pesetas	NOUN	23	nmod
26	)	PUNCT	23	punct
27	y	CCONJ	29	cc
28	480.809	NUM	29	nummod
29	euros	NOUN	20	conj
30	(	PUNCT	32	punct
31	80	NUM	32	nummod
32	millones	NOUN	29	appos
33	de	ADP	34	case
34	pesetas	NOUN	32	nmod
35	)	PUNCT	32	punct
36	,	PUNCT	37	punct
37	librados	ADJ	17	amod
38	,	PUNCT	39	punct
39	respectivamente	ADV	37	advmod
40	,	PUNCT	39	punct
41	por	ADP	43	case
42	el	DET	43	det
43	Banco	PROPN	37	obj
44	Zaragozano	PROPN	43	flat
45	y	CCONJ	47	cc
46	el	DET	47	det
47	Banco	PROPN	43	conj
48	Bilbao	PROPN	47	flat
49	Vizcaya	PROPN	47	flat
50	,	PUNCT	52	punct
51	para	ADP	52	mark
52	garantizar	VERB	37	advcl
53	su	DET	54	det
54	libertad	NOUN	52	obj
55	.	PUNCT	8	punct