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:
La CGT estudia la presentación de un recurso judicial contra el plan de ABB Alstom Power al considerar que la compañía no ha respetado la obligación de informar con antelación a los trabajadores.
Postion	Tokenization
1	La
2	CGT
3	estudia
4	la
5	presentación
6	de
7	un
8	recurso
9	judicial
10	contra
11	el
12	plan
13	de
14	ABB
15	Alstom
16	Power
17	al
18	considerar
19	que
20	la
21	compañía
22	no
23	ha
24	respetado
25	la
26	obligación
27	de
28	informar
29	con
30	antelación
31	a
32	los
33	trabajadores
34	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	CGT	PROPN	3	nsubj
3	estudia	VERB	0	root
4	la	DET	5	det
5	presentación	NOUN	3	obj
6	de	ADP	8	case
7	un	DET	8	det
8	recurso	NOUN	5	nmod
9	judicial	ADJ	8	amod
10	contra	ADP	12	case
11	el	DET	12	det
12	plan	NOUN	8	nmod
13	de	ADP	14	case
14	ABB	PROPN	12	nmod
15	Alstom	PROPN	14	flat
16	Power	PROPN	14	flat
17	al	ADP	18	mark
18	considerar	VERB	3	advcl
19	que	SCONJ	18	mark
20	la	DET	21	det
21	compañía	NOUN	18	nsubj
22	no	ADV	18	advmod
23	ha	AUX	18	aux
24	respetado	VERB	18	xcomp
25	la	DET	26	det
26	obligación	NOUN	24	obj
27	de	ADP	28	mark
28	informar	VERB	26	acl
29	con	ADP	30	case
30	antelación	NOUN	28	obl
31	a	ADP	33	case
32	los	DET	33	det
33	trabajadores	NOUN	28	obj
34	.	PUNCT	3	punct