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:
1,2 millones de trabajadores han sido convocados por UGT y CCOO para protestar contra la alta siniestralidad en el sector, que creció el 11,7% el 2000.
Postion	Tokenization
1	1,2
2	millones
3	de
4	trabajadores
5	han
6	sido
7	convocados
8	por
9	UGT
10	y
11	CCOO
12	para
13	protestar
14	contra
15	la
16	alta
17	siniestralidad
18	en
19	el
20	sector
21	,
22	que
23	creció
24	el
25	11,7%
26	el
27	2000
28	.
Position	Tokenization	UPOS	Head	Deprel
1	1,2	NUM	2	nummod
2	millones	NOUN	7	nsubj
3	de	ADP	4	case
4	trabajadores	NOUN	2	nmod
5	han	AUX	7	aux
6	sido	AUX	7	aux
7	convocados	VERB	0	root
8	por	ADP	9	case
9	UGT	PROPN	7	obj
10	y	CCONJ	11	cc
11	CCOO	PROPN	9	conj
12	para	ADP	13	mark
13	protestar	VERB	7	advcl
14	contra	ADP	17	case
15	la	DET	17	det
16	alta	ADJ	17	amod
17	siniestralidad	NOUN	13	obl
18	en	ADP	20	case
19	el	DET	20	det
20	sector	NOUN	17	nmod
21	,	PUNCT	23	punct
22	que	PRON	23	nsubj
23	creció	VERB	17	acl
24	el	DET	25	det
25	11,7%	SYM	23	obj
26	el	DET	27	det
27	2000	NOUN	23	obl
28	.	PUNCT	7	punct