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:
Mientras, el financiero norteamericano George Soros señaló ayer en el Foro Económico Mundial en Davos (Suiza) que el momento es oportuno para conceder nuevas ayudas de emergencia a Brasil.
Postion	Tokenization
1	Mientras
2	,
3	el
4	financiero
5	norteamericano
6	George
7	Soros
8	señaló
9	ayer
10	en
11	el
12	Foro
13	Económico
14	Mundial
15	en
16	Davos
17	(
18	Suiza
19	)
20	que
21	el
22	momento
23	es
24	oportuno
25	para
26	conceder
27	nuevas
28	ayudas
29	de
30	emergencia
31	a
32	Brasil
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Mientras	ADV	8	advmod
2	,	PUNCT	1	punct
3	el	DET	4	det
4	financiero	NOUN	8	nsubj
5	norteamericano	ADJ	4	amod
6	George	PROPN	4	appos
7	Soros	PROPN	6	flat
8	señaló	VERB	0	root
9	ayer	ADV	8	advmod
10	en	ADP	12	case
11	el	DET	12	det
12	Foro	PROPN	8	obl
13	Económico	PROPN	12	flat
14	Mundial	PROPN	12	flat
15	en	ADP	16	case
16	Davos	PROPN	12	nmod
17	(	PUNCT	18	punct
18	Suiza	PROPN	16	flat
19	)	PUNCT	18	punct
20	que	SCONJ	24	mark
21	el	DET	22	det
22	momento	NOUN	24	nsubj
23	es	AUX	24	cop
24	oportuno	ADJ	8	ccomp
25	para	ADP	26	mark
26	conceder	VERB	24	advcl
27	nuevas	ADJ	28	amod
28	ayudas	NOUN	26	obj
29	de	ADP	30	case
30	emergencia	NOUN	28	nmod
31	a	ADP	32	case
32	Brasil	PROPN	26	obj
33	.	PUNCT	8	punct