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 Gobierno de Portugal decidió abrir una cuenta de ahorro con 50 euros (8.319 pesetas) a los bebés nacidos el 1 de enero del 2002, según anunció el lunes, 31 de diciembre, el ministro de Economía portugués, Guilherme d'Oliveira Martins.
Postion	Tokenization
1	El
2	Gobierno
3	de
4	Portugal
5	decidió
6	abrir
7	una
8	cuenta
9	de
10	ahorro
11	con
12	50
13	euros
14	(
15	8.319
16	pesetas
17	)
18	a
19	los
20	bebés
21	nacidos
22	el
23	1
24	de
25	enero
26	del
27	2002
28	,
29	según
30	anunció
31	el
32	lunes
33	,
34	31
35	de
36	diciembre
37	,
38	el
39	ministro
40	de
41	Economía
42	portugués
43	,
44	Guilherme
45	d'Oliveira
46	Martins
47	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Gobierno	PROPN	5	nsubj
3	de	ADP	4	case
4	Portugal	PROPN	2	nmod
5	decidió	VERB	0	root
6	abrir	VERB	5	xcomp
7	una	DET	8	det
8	cuenta	NOUN	6	obj
9	de	ADP	10	case
10	ahorro	NOUN	8	nmod
11	con	ADP	13	case
12	50	NUM	13	nummod
13	euros	NOUN	8	nmod
14	(	PUNCT	16	punct
15	8.319	NUM	16	nummod
16	pesetas	NOUN	13	appos
17	)	PUNCT	16	punct
18	a	ADP	20	case
19	los	DET	20	det
20	bebés	NOUN	6	obj
21	nacidos	ADJ	20	amod
22	el	DET	23	det
23	1	NUM	21	obl
24	de	ADP	25	case
25	enero	NOUN	23	compound
26	del	ADP	27	case
27	2002	NUM	23	compound
28	,	PUNCT	30	punct
29	según	SCONJ	30	mark
30	anunció	VERB	5	advcl
31	el	DET	32	det
32	lunes	NOUN	30	obl
33	,	PUNCT	32	punct
34	31	NUM	32	compound
35	de	ADP	36	case
36	diciembre	NOUN	32	compound
37	,	PUNCT	32	punct
38	el	DET	39	det
39	ministro	NOUN	30	nsubj
40	de	ADP	41	case
41	Economía	PROPN	39	nmod
42	portugués	ADJ	39	amod
43	,	PUNCT	44	punct
44	Guilherme	PROPN	39	appos
45	d'Oliveira	PROPN	44	flat
46	Martins	PROPN	44	flat
47	.	PUNCT	5	punct