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:
El CGPJ abrió tres expedientes disciplinarios contra dos magistrados de la sala que debía juzgar al agresor sexual y contra el presidente de la Audiencia de Barcelona.
Postion	Tokenization
1	El
2	CGPJ
3	abrió
4	tres
5	expedientes
6	disciplinarios
7	contra
8	dos
9	magistrados
10	de
11	la
12	sala
13	que
14	debía
15	juzgar
16	al
17	agresor
18	sexual
19	y
20	contra
21	el
22	presidente
23	de
24	la
25	Audiencia
26	de
27	Barcelona
28	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	CGPJ	PROPN	3	nsubj
3	abrió	VERB	0	root
4	tres	NUM	5	nummod
5	expedientes	NOUN	3	obj
6	disciplinarios	ADJ	5	amod
7	contra	ADP	9	case
8	dos	NUM	9	nummod
9	magistrados	NOUN	5	nmod
10	de	ADP	12	case
11	la	DET	12	det
12	sala	NOUN	9	nmod
13	que	PRON	15	nsubj
14	debía	AUX	15	aux
15	juzgar	VERB	12	acl
16	al	ADP	17	case
17	agresor	NOUN	15	obj
18	sexual	ADJ	17	amod
19	y	CCONJ	22	cc
20	contra	ADP	22	case
21	el	DET	22	det
22	presidente	NOUN	9	conj
23	de	ADP	25	case
24	la	DET	25	det
25	Audiencia	PROPN	22	nmod
26	de	ADP	27	case
27	Barcelona	PROPN	25	flat
28	.	PUNCT	3	punct