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 decisión del CGPJ responde al recurso presentado por el anterior presidente de la Audiencia de Barcelona, Gerard Thomas, contra la orden de Béjar, al considerar que provocaba la suspensión de juicios.
Postion	Tokenization
1	La
2	decisión
3	del
4	CGPJ
5	responde
6	al
7	recurso
8	presentado
9	por
10	el
11	anterior
12	presidente
13	de
14	la
15	Audiencia
16	de
17	Barcelona
18	,
19	Gerard
20	Thomas
21	,
22	contra
23	la
24	orden
25	de
26	Béjar
27	,
28	al
29	considerar
30	que
31	provocaba
32	la
33	suspensión
34	de
35	juicios
36	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	decisión	NOUN	5	nsubj
3	del	ADP	4	case
4	CGPJ	PROPN	2	nmod
5	responde	VERB	0	root
6	al	ADP	7	case
7	recurso	NOUN	5	obj
8	presentado	ADJ	7	amod
9	por	ADP	12	case
10	el	DET	12	det
11	anterior	ADJ	12	amod
12	presidente	NOUN	8	obj
13	de	ADP	15	case
14	la	DET	15	det
15	Audiencia	PROPN	12	nmod
16	de	ADP	17	case
17	Barcelona	PROPN	15	flat
18	,	PUNCT	19	punct
19	Gerard	PROPN	12	appos
20	Thomas	PROPN	19	flat
21	,	PUNCT	19	punct
22	contra	ADP	24	case
23	la	DET	24	det
24	orden	NOUN	7	nmod
25	de	ADP	26	case
26	Béjar	PROPN	24	nmod
27	,	PUNCT	29	punct
28	al	ADP	29	mark
29	considerar	VERB	5	advcl
30	que	SCONJ	31	mark
31	provocaba	VERB	29	ccomp
32	la	DET	33	det
33	suspensión	NOUN	31	obj
34	de	ADP	35	case
35	juicios	NOUN	33	nmod
36	.	PUNCT	5	punct