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 empresario fiyiano George Speight, cabecilla de una intentona golpista, salió hoy del Parlamento, donde tiene retenidas a unas treinta personas, para reunirse con los militares y negociar una salida a la crisis que atraviesa Fiyi desde hace 14 días.
Postion	Tokenization
1	El
2	empresario
3	fiyiano
4	George
5	Speight
6	,
7	cabecilla
8	de
9	una
10	intentona
11	golpista
12	,
13	salió
14	hoy
15	del
16	Parlamento
17	,
18	donde
19	tiene
20	retenidas
21	a
22	unas
23	treinta
24	personas
25	,
26	para
27	reunirse
28	reunir
29	se
30	con
31	los
32	militares
33	y
34	negociar
35	una
36	salida
37	a
38	la
39	crisis
40	que
41	atraviesa
42	Fiyi
43	desde
44	hace
45	14
46	días
47	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	empresario	NOUN	13	nsubj
3	fiyiano	ADJ	2	amod
4	George	PROPN	2	appos
5	Speight	PROPN	4	flat
6	,	PUNCT	7	punct
7	cabecilla	NOUN	2	appos
8	de	ADP	10	case
9	una	DET	10	det
10	intentona	NOUN	7	nmod
11	golpista	ADJ	10	amod
12	,	PUNCT	7	punct
13	salió	VERB	0	root
14	hoy	ADV	13	advmod
15	del	ADP	16	case
16	Parlamento	PROPN	13	obl
17	,	PUNCT	19	punct
18	donde	PRON	19	obl
19	tiene	VERB	16	acl
20	retenidas	ADJ	19	obj
21	a	ADP	24	case
22	unas	DET	24	det
23	treinta	NUM	22	nummod
24	personas	NOUN	19	obj
25	,	PUNCT	19	punct
26	para	ADP	27	mark
27	reunirse	_	None	_
28	reunir	VERB	13	advcl
29	se	PRON	27	expl:pv
30	con	ADP	31	case
31	los	DET	31	det
32	militares	NOUN	27	obj
33	y	CCONJ	33	cc
34	negociar	VERB	27	conj
35	una	DET	35	det
36	salida	NOUN	33	obj
37	a	ADP	38	case
38	la	DET	38	det
39	crisis	NOUN	35	nmod
40	que	PRON	40	obj
41	atraviesa	VERB	38	acl
42	Fiyi	PROPN	40	nsubj
43	desde	ADP	43	mark
44	hace	VERB	40	advcl
45	14	NUM	45	nummod
46	días	NOUN	43	obj
47	.	PUNCT	13	punct