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 FMI podría adelantar unos 9.000 millones dólares - - unos 1,3 billones de pesetas al cambio actual - - del préstamo de 41.500 millones acordado en diciembre pasado - - unos 6,1 billones de pesetas - -, si Brasil acomete algunas reformas adicionales, como un mayor recorte del gasto público.
Postion	Tokenization
1	El
2	FMI
3	podría
4	adelantar
5	unos
6	9.000
7	millones
8	dólares
9	-
10	-
11	unos
12	1,3
13	billones
14	de
15	pesetas
16	al
17	cambio
18	actual
19	-
20	-
21	del
22	préstamo
23	de
24	41.500
25	millones
26	acordado
27	en
28	diciembre
29	pasado
30	-
31	-
32	unos
33	6,1
34	billones
35	de
36	pesetas
37	-
38	-
39	,
40	si
41	Brasil
42	acomete
43	algunas
44	reformas
45	adicionales
46	,
47	como
48	un
49	mayor
50	recorte
51	del
52	gasto
53	público
54	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	FMI	PROPN	4	nsubj
3	podría	AUX	4	aux
4	adelantar	VERB	0	root
5	unos	PRON	6	nmod
6	9.000	NUM	7	nummod
7	millones	NOUN	4	obj
8	dólares	NOUN	7	appos
9	-	PUNCT	13	punct
10	-	PUNCT	13	punct
11	unos	PRON	12	nmod
12	1,3	NUM	13	nummod
13	billones	NOUN	7	appos
14	de	ADP	15	case
15	pesetas	NOUN	13	nmod
16	al	ADP	17	case
17	cambio	NOUN	13	nmod
18	actual	ADJ	17	amod
19	-	PUNCT	13	punct
20	-	PUNCT	13	punct
21	del	ADP	22	case
22	préstamo	NOUN	4	obl
23	de	ADP	25	case
24	41.500	NUM	25	nummod
25	millones	NOUN	22	nmod
26	acordado	ADJ	22	amod
27	en	ADP	28	case
28	diciembre	NOUN	26	obl
29	pasado	ADJ	28	amod
30	-	PUNCT	34	punct
31	-	PUNCT	34	punct
32	unos	PRON	33	nmod
33	6,1	NUM	34	nummod
34	billones	NOUN	22	appos
35	de	ADP	36	case
36	pesetas	NOUN	34	nmod
37	-	PUNCT	34	punct
38	-	PUNCT	34	punct
39	,	PUNCT	42	punct
40	si	SCONJ	42	mark
41	Brasil	PROPN	42	nsubj
42	acomete	VERB	4	advcl
43	algunas	DET	44	det
44	reformas	NOUN	42	obj
45	adicionales	ADJ	44	amod
46	,	PUNCT	50	punct
47	como	SCONJ	50	mark
48	un	DET	50	det
49	mayor	ADJ	50	amod
50	recorte	NOUN	44	nmod
51	del	ADP	52	case
52	gasto	NOUN	50	nmod
53	público	ADJ	52	amod
54	.	PUNCT	4	punct