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:
Antes de la apertura de la bolsa el gobierno de los EEUU informó de las esperadas cifras del mercado laboral en enero.
Postion	Tokenization
1	Antes
2	de
3	la
4	apertura
5	de
6	la
7	bolsa
8	el
9	gobierno
10	de
11	los
12	EEUU
13	informó
14	de
15	las
16	esperadas
17	cifras
18	del
19	mercado
20	laboral
21	en
22	enero
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Antes	ADV	13	advmod
2	de	ADP	4	case
3	la	DET	4	det
4	apertura	NOUN	1	obl
5	de	ADP	7	case
6	la	DET	7	det
7	bolsa	NOUN	4	nmod
8	el	DET	9	det
9	gobierno	NOUN	13	nsubj
10	de	ADP	12	case
11	los	DET	12	det
12	EEUU	PROPN	9	nmod
13	informó	VERB	0	root
14	de	ADP	17	case
15	las	DET	17	det
16	esperadas	ADJ	17	amod
17	cifras	NOUN	13	obj
18	del	ADP	19	case
19	mercado	NOUN	17	nmod
20	laboral	ADJ	19	amod
21	en	ADP	22	case
22	enero	NOUN	17	nmod
23	.	PUNCT	13	punct