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:
Chaudhry y trece ministros de su Gabinete, además del Fiscal General y diputados y asistentes personales, forman el grupo de personas retenidas por la fuerza en el Parlamento.
Postion	Tokenization
1	Chaudhry
2	y
3	trece
4	ministros
5	de
6	su
7	Gabinete
8	,
9	además
10	del
11	Fiscal
12	General
13	y
14	diputados
15	y
16	asistentes
17	personales
18	,
19	forman
20	el
21	grupo
22	de
23	personas
24	retenidas
25	por
26	la
27	fuerza
28	en
29	el
30	Parlamento
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Chaudhry	PROPN	19	nsubj
2	y	CCONJ	4	cc
3	trece	NUM	4	nummod
4	ministros	NOUN	1	conj
5	de	ADP	7	case
6	su	DET	7	det
7	Gabinete	PROPN	4	nmod
8	,	PUNCT	11	punct
9	además	ADV	11	cc
10	del	ADP	9	fixed
11	Fiscal	PROPN	1	conj
12	General	PROPN	11	flat
13	y	CCONJ	14	cc
14	diputados	NOUN	11	conj
15	y	CCONJ	16	cc
16	asistentes	NOUN	14	conj
17	personales	ADJ	16	amod
18	,	PUNCT	19	punct
19	forman	VERB	0	root
20	el	DET	21	det
21	grupo	NOUN	19	obj
22	de	ADP	23	case
23	personas	NOUN	21	nmod
24	retenidas	ADJ	23	amod
25	por	ADP	27	case
26	la	DET	27	det
27	fuerza	NOUN	24	obl
28	en	ADP	30	case
29	el	DET	30	det
30	Parlamento	PROPN	24	obl
31	.	PUNCT	19	punct