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:
Gruzínské ministerstvo vnitra oznámilo, že gruzínským oddílům se podařilo dobýt životně důležitý mlýn a ropný závod ve městečku Ešery nedaleko abchazského hlavního města Suchumi.
Postion	Tokenization
1	Gruzínské
2	ministerstvo
3	vnitra
4	oznámilo
5	,
6	že
7	gruzínským
8	oddílům
9	se
10	podařilo
11	dobýt
12	životně
13	důležitý
14	mlýn
15	a
16	ropný
17	závod
18	ve
19	městečku
20	Ešery
21	nedaleko
22	abchazského
23	hlavního
24	města
25	Suchumi
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Gruzínské	ADJ	2	amod
2	ministerstvo	NOUN	4	nsubj
3	vnitra	NOUN	2	nmod
4	oznámilo	VERB	0	root
5	,	PUNCT	10	punct
6	že	SCONJ	10	mark
7	gruzínským	ADJ	8	amod
8	oddílům	NOUN	10	obl:arg
9	se	PRON	10	expl:pv
10	podařilo	VERB	4	ccomp
11	dobýt	VERB	10	csubj
12	životně	ADV	13	advmod
13	důležitý	ADJ	14	amod
14	mlýn	NOUN	11	obj
15	a	CCONJ	17	cc
16	ropný	ADJ	17	amod
17	závod	NOUN	14	conj
18	ve	ADP	19	case
19	městečku	NOUN	17	nmod
20	Ešery	PROPN	19	nmod
21	nedaleko	ADV	24	case
22	abchazského	ADJ	24	amod
23	hlavního	ADJ	24	amod
24	města	NOUN	19	nmod
25	Suchumi	PROPN	24	nmod
26	.	PUNCT	4	punct