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:
Prohlásil to včera na mimořádném zasedání Státní rady, která se sešla v gruzínském hlavním městě Tbilisi, její předseda Eduard Ševardnadze.
Postion	Tokenization
1	Prohlásil
2	to
3	včera
4	na
5	mimořádném
6	zasedání
7	Státní
8	rady
9	,
10	která
11	se
12	sešla
13	v
14	gruzínském
15	hlavním
16	městě
17	Tbilisi
18	,
19	její
20	předseda
21	Eduard
22	Ševardnadze
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Prohlásil	VERB	0	root
2	to	DET	1	obj
3	včera	ADV	1	advmod
4	na	ADP	6	case
5	mimořádném	ADJ	6	amod
6	zasedání	NOUN	1	obl
7	Státní	ADJ	8	amod
8	rady	NOUN	6	nmod
9	,	PUNCT	12	punct
10	která	DET	12	nsubj
11	se	PRON	12	expl:pv
12	sešla	VERB	8	acl:relcl
13	v	ADP	16	case
14	gruzínském	ADJ	16	amod
15	hlavním	ADJ	16	amod
16	městě	NOUN	12	obl
17	Tbilisi	PROPN	16	nmod
18	,	PUNCT	12	punct
19	její	DET	20	det
20	předseda	NOUN	1	nsubj
21	Eduard	PROPN	20	flat
22	Ševardnadze	PROPN	20	flat
23	.	PUNCT	1	punct