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, las medidas económicas, son requisitos del FMI para desembolsar 304 millones de dólares en los próximos doce meses, cuyo fin persigue robustecer las finanzas públicas y revertir la recesión.
Postion	Tokenization
1	Además
2	,
3	las
4	medidas
5	económicas
6	,
7	son
8	requisitos
9	del
10	FMI
11	para
12	desembolsar
13	304
14	millones
15	de
16	dólares
17	en
18	los
19	próximos
20	doce
21	meses
22	,
23	cuyo
24	fin
25	persigue
26	robustecer
27	las
28	finanzas
29	públicas
30	y
31	revertir
32	la
33	recesión
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	8	advmod
2	,	PUNCT	1	punct
3	las	DET	4	det
4	medidas	NOUN	8	nsubj
5	económicas	ADJ	4	amod
6	,	PUNCT	4	punct
7	son	AUX	8	cop
8	requisitos	NOUN	0	root
9	del	ADP	10	case
10	FMI	PROPN	8	nmod
11	para	ADP	12	mark
12	desembolsar	VERB	8	acl
13	304	NUM	14	nummod
14	millones	NOUN	12	obj
15	de	ADP	16	case
16	dólares	NOUN	14	nmod
17	en	ADP	21	case
18	los	DET	21	det
19	próximos	ADJ	18	amod
20	doce	NUM	18	nummod
21	meses	NOUN	12	obl
22	,	PUNCT	25	punct
23	cuyo	PRON	24	nmod
24	fin	NOUN	25	nsubj
25	persigue	VERB	8	advcl
26	robustecer	VERB	25	xcomp
27	las	DET	28	det
28	finanzas	NOUN	26	obj
29	públicas	ADJ	28	amod
30	y	CCONJ	31	cc
31	revertir	VERB	26	conj
32	la	DET	33	det
33	recesión	NOUN	31	nsubj
34	.	PUNCT	8	punct