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:
Según el ministro, Brasil tiene sus propuestas para frenar la especulación, que serán discutidas con la misión del Fondo Monetario Internacional (FMI) que se encuentra en Brasil y que está encabezada por el número dos de este organismo Stanley Fischer.
Postion	Tokenization
1	Según
2	el
3	ministro
4	,
5	Brasil
6	tiene
7	sus
8	propuestas
9	para
10	frenar
11	la
12	especulación
13	,
14	que
15	serán
16	discutidas
17	con
18	la
19	misión
20	del
21	Fondo
22	Monetario
23	Internacional
24	(
25	FMI
26	)
27	que
28	se
29	encuentra
30	en
31	Brasil
32	y
33	que
34	está
35	encabezada
36	por
37	el
38	número
39	dos
40	de
41	este
42	organismo
43	Stanley
44	Fischer
45	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	3	case
2	el	DET	3	det
3	ministro	NOUN	6	obl
4	,	PUNCT	3	punct
5	Brasil	PROPN	6	nsubj
6	tiene	VERB	0	root
7	sus	DET	8	det
8	propuestas	NOUN	6	obj
9	para	ADP	10	mark
10	frenar	VERB	8	acl
11	la	DET	12	det
12	especulación	NOUN	10	obj
13	,	PUNCT	16	punct
14	que	PRON	16	nsubj
15	serán	AUX	16	aux
16	discutidas	VERB	8	acl
17	con	ADP	19	case
18	la	DET	19	det
19	misión	NOUN	16	obl
20	del	ADP	21	case
21	Fondo	PROPN	19	nmod
22	Monetario	PROPN	21	flat
23	Internacional	PROPN	21	flat
24	(	PUNCT	25	punct
25	FMI	PROPN	21	flat
26	)	PUNCT	25	punct
27	que	PRON	29	nsubj
28	se	PRON	29	expl:pv
29	encuentra	VERB	19	acl
30	en	ADP	31	case
31	Brasil	PROPN	29	obl
32	y	CCONJ	35	cc
33	que	PRON	35	nsubj
34	está	AUX	35	cop
35	encabezada	ADJ	29	conj
36	por	ADP	38	case
37	el	DET	38	det
38	número	NOUN	35	obj
39	dos	NUM	38	nummod
40	de	ADP	42	case
41	este	DET	42	det
42	organismo	NOUN	38	nmod
43	Stanley	PROPN	38	appos
44	Fischer	PROPN	43	flat
45	.	PUNCT	6	punct