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 text: Gruzínský vicepremiér Alexandr Kavsadze řekl, že gruzínská vojska nevstoupila na abchazské území, ale byla tam převelena, aby chránila železniční magistrálu spojující Gruzii a Arménii s Ruskem, která byla blokována "diverzně-teroristickými oddíly přívrženců svrženého prezidenta Gamsachurdii".
Position	Tokenization	UPOS	Head	Deprel
1	Gruzínský	ADJ	2	amod
2	vicepremiér	NOUN	5	nsubj
3	Alexandr	PROPN	2	flat
4	Kavsadze	PROPN	2	flat
5	řekl	VERB	0	root
6	,	PUNCT	10	punct
7	že	SCONJ	10	mark
8	gruzínská	ADJ	9	amod
9	vojska	NOUN	10	nsubj
10	nevstoupila	VERB	5	ccomp
11	na	ADP	13	case
12	abchazské	ADJ	13	amod
13	území	NOUN	10	obl
14	,	PUNCT	18	punct
15	ale	CCONJ	18	cc
16	byla	AUX	18	aux:pass
17	tam	ADV	18	advmod
18	převelena	ADJ	10	conj
19	,	PUNCT	22	punct
20	aby	_	None	_
21	aby	SCONJ	22	mark
22	by	AUX	22	aux
23	chránila	VERB	18	advcl
24	železniční	ADJ	24	amod
25	magistrálu	NOUN	22	obj
26	spojující	ADJ	24	amod
27	Gruzii	PROPN	25	obj
28	a	CCONJ	28	cc
29	Arménii	PROPN	26	conj
30	s	ADP	30	case
31	Ruskem	PROPN	25	obl:arg
32	,	PUNCT	34	punct
33	která	DET	34	nsubj:pass
34	byla	AUX	34	aux:pass
35	blokována	ADJ	24	amod
36	"	PUNCT	39	punct
37	diverzně	ADV	38	advmod
38	-	PUNCT	38	punct
39	teroristickými	ADJ	39	amod
40	oddíly	NOUN	34	obl:arg
41	přívrženců	NOUN	39	nmod
42	svrženého	ADJ	42	amod
43	prezidenta	NOUN	40	nmod
44	Gamsachurdii	PROPN	42	flat
45	"	PUNCT	39	punct
46	.	PUNCT	5	punct