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 encabeza este "golpe de Estado civil" en favor de la comunidad de nativos fiyianos, como ha definido su acción.
Postion	Tokenization
1	El
2	empresario
3	fiyiano
4	George
5	Speight
6	encabeza
7	este
8	"
9	golpe
10	de
11	Estado
12	civil
13	"
14	en
15	favor
16	de
17	la
18	comunidad
19	de
20	nativos
21	fiyianos
22	,
23	como
24	ha
25	definido
26	su
27	acción
28	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	empresario	NOUN	6	nsubj
3	fiyiano	ADJ	2	amod
4	George	PROPN	2	appos
5	Speight	PROPN	4	flat
6	encabeza	VERB	0	root
7	este	DET	9	det
8	"	PUNCT	9	punct
9	golpe	NOUN	6	obj
10	de	ADP	11	case
11	Estado	PROPN	9	nmod
12	civil	ADJ	9	amod
13	"	PUNCT	9	punct
14	en	ADP	18	case
15	favor	NOUN	14	fixed
16	de	ADP	14	fixed
17	la	DET	18	det
18	comunidad	NOUN	9	nmod
19	de	ADP	20	case
20	nativos	NOUN	18	nmod
21	fiyianos	ADJ	20	amod
22	,	PUNCT	25	punct
23	como	SCONJ	25	mark
24	ha	AUX	25	aux
25	definido	VERB	6	advcl
26	su	DET	27	det
27	acción	NOUN	25	nsubj
28	.	PUNCT	6	punct