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:
Gruzínská Státní rada se rozhodla zahájit rozsáhlé bojové akce, aby vytlačila z Abcházie všechny ilegální severokavkazské ozbrojené oddíly, prohlásil mluvčí rady Ramin Čelidze.
Postion	Tokenization
1	Gruzínská
2	Státní
3	rada
4	se
5	rozhodla
6	zahájit
7	rozsáhlé
8	bojové
9	akce
10	,
11	aby
12	aby
13	by
14	vytlačila
15	z
16	Abcházie
17	všechny
18	ilegální
19	severokavkazské
20	ozbrojené
21	oddíly
22	,
23	prohlásil
24	mluvčí
25	rady
26	Ramin
27	Čelidze
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Gruzínská	ADJ	3	amod
2	Státní	ADJ	3	amod
3	rada	NOUN	5	nsubj
4	se	PRON	5	expl:pv
5	rozhodla	VERB	22	ccomp
6	zahájit	VERB	5	xcomp
7	rozsáhlé	ADJ	9	amod
8	bojové	ADJ	9	amod
9	akce	NOUN	6	obj
10	,	PUNCT	13	punct
11	aby	_	None	_
12	aby	SCONJ	13	mark
13	by	AUX	13	aux
14	vytlačila	VERB	6	advcl
15	z	ADP	15	case
16	Abcházie	PROPN	13	obl
17	všechny	DET	20	det
18	ilegální	ADJ	20	amod
19	severokavkazské	ADJ	20	amod
20	ozbrojené	ADJ	20	amod
21	oddíly	NOUN	13	obj
22	,	PUNCT	5	punct
23	prohlásil	VERB	0	root
24	mluvčí	NOUN	22	nsubj
25	rady	NOUN	23	nmod
26	Ramin	PROPN	23	flat
27	Čelidze	PROPN	23	flat
28	.	PUNCT	22	punct