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:
Desde el 13 de enero, el real se había devaluado más de un 50% y la fuga de dólares supera los 25.000 millones (más de 3,6 billones de pesetas) en los últimos cinco meses.
Postion	Tokenization
1	Desde
2	el
3	13
4	de
5	enero
6	,
7	el
8	real
9	se
10	había
11	devaluado
12	más
13	de
14	un
15	50%
16	y
17	la
18	fuga
19	de
20	dólares
21	supera
22	los
23	25.000
24	millones
25	(
26	más
27	de
28	3,6
29	billones
30	de
31	pesetas
32	)
33	en
34	los
35	últimos
36	cinco
37	meses
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Desde	ADP	3	case
2	el	DET	3	det
3	13	NUM	11	obl
4	de	ADP	5	case
5	enero	NOUN	3	compound
6	,	PUNCT	3	punct
7	el	DET	8	det
8	real	NOUN	11	nsubj
9	se	PRON	11	expl:pv
10	había	AUX	11	aux
11	devaluado	VERB	0	root
12	más	ADV	14	advmod
13	de	ADP	14	case
14	un	PRON	15	nmod
15	50%	SYM	11	obj
16	y	CCONJ	21	cc
17	la	DET	18	det
18	fuga	NOUN	21	nsubj
19	de	ADP	20	case
20	dólares	NOUN	18	nmod
21	supera	VERB	11	conj
22	los	DET	23	det
23	25.000	NUM	24	nummod
24	millones	NOUN	21	obj
25	(	PUNCT	29	punct
26	más	ADV	29	advmod
27	de	ADP	26	case
28	3,6	NUM	26	nummod
29	billones	NOUN	24	appos
30	de	ADP	31	case
31	pesetas	NOUN	29	nmod
32	)	PUNCT	29	punct
33	en	ADP	37	case
34	los	DET	37	det
35	últimos	ADJ	34	amod
36	cinco	NUM	34	nummod
37	meses	NOUN	21	obl
38	.	PUNCT	11	punct