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:
Za pokračujících bojů v centru gruzínského hlavního města včera povstalecké oddíly osvobodily z vězení osm opozičních představitelů, když obsadily sídlo bývalého gruzínského KGB.
Postion	Tokenization
1	Za
2	pokračujících
3	bojů
4	v
5	centru
6	gruzínského
7	hlavního
8	města
9	včera
10	povstalecké
11	oddíly
12	osvobodily
13	z
14	vězení
15	osm
16	opozičních
17	představitelů
18	,
19	když
20	obsadily
21	sídlo
22	bývalého
23	gruzínského
24	KGB
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Za	ADP	3	case
2	pokračujících	ADJ	3	amod
3	bojů	NOUN	12	obl
4	v	ADP	5	case
5	centru	NOUN	3	nmod
6	gruzínského	ADJ	8	amod
7	hlavního	ADJ	8	amod
8	města	NOUN	5	nmod
9	včera	ADV	12	advmod
10	povstalecké	ADJ	11	amod
11	oddíly	NOUN	12	nsubj
12	osvobodily	VERB	0	root
13	z	ADP	14	case
14	vězení	NOUN	12	obl
15	osm	NUM	17	nummod:gov
16	opozičních	ADJ	17	amod
17	představitelů	NOUN	12	obj
18	,	PUNCT	20	punct
19	když	SCONJ	20	mark
20	obsadily	VERB	12	advcl
21	sídlo	NOUN	20	obj
22	bývalého	ADJ	24	amod
23	gruzínského	ADJ	24	amod
24	KGB	PROPN	21	nmod
25	.	PUNCT	12	punct