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 número dos del FMI, Stanley Fischer, salió ayer de forma precipitada de Davos (Suiza) hacia Brasilia para incorporarse a las negociaciones.
Postion	Tokenization
1	El
2	número
3	dos
4	del
5	FMI
6	,
7	Stanley
8	Fischer
9	,
10	salió
11	ayer
12	de
13	forma
14	precipitada
15	de
16	Davos
17	(
18	Suiza
19	)
20	hacia
21	Brasilia
22	para
23	incorporarse
24	incorporar
25	se
26	a
27	las
28	negociaciones
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	número	NOUN	10	nsubj
3	dos	NUM	2	appos
4	del	ADP	5	case
5	FMI	PROPN	2	nmod
6	,	PUNCT	7	punct
7	Stanley	PROPN	2	appos
8	Fischer	PROPN	7	flat
9	,	PUNCT	7	punct
10	salió	VERB	0	root
11	ayer	ADV	10	advmod
12	de	ADP	13	case
13	forma	NOUN	10	obl
14	precipitada	ADJ	13	amod
15	de	ADP	16	case
16	Davos	PROPN	10	obl
17	(	PUNCT	18	punct
18	Suiza	PROPN	16	flat
19	)	PUNCT	18	punct
20	hacia	ADP	21	case
21	Brasilia	PROPN	10	obl
22	para	ADP	23	mark
23	incorporarse	_	None	_
24	incorporar	VERB	10	advcl
25	se	PRON	23	expl:pv
26	a	ADP	27	case
27	las	DET	27	det
28	negociaciones	NOUN	23	obj
29	.	PUNCT	10	punct