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:
Mluvčí ruské Federální služby kontrarozvědky včera v Moskvě oznámil, že jeho úřad předal podnět k zahájení trestního stíhání ve věci masového zabíjení na území Čečenské republiky.
Postion	Tokenization
1	Mluvčí
2	ruské
3	Federální
4	služby
5	kontrarozvědky
6	včera
7	v
8	Moskvě
9	oznámil
10	,
11	že
12	jeho
13	úřad
14	předal
15	podnět
16	k
17	zahájení
18	trestního
19	stíhání
20	ve
21	věci
22	masového
23	zabíjení
24	na
25	území
26	Čečenské
27	republiky
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Mluvčí	NOUN	9	nsubj
2	ruské	ADJ	4	amod
3	Federální	ADJ	4	amod
4	služby	NOUN	1	nmod
5	kontrarozvědky	NOUN	4	nmod
6	včera	ADV	9	advmod
7	v	ADP	8	case
8	Moskvě	PROPN	9	obl
9	oznámil	VERB	0	root
10	,	PUNCT	14	punct
11	že	SCONJ	14	mark
12	jeho	DET	13	det
13	úřad	NOUN	14	nsubj
14	předal	VERB	9	ccomp
15	podnět	NOUN	14	obj
16	k	ADP	17	case
17	zahájení	NOUN	15	nmod
18	trestního	ADJ	19	amod
19	stíhání	NOUN	17	nmod
20	ve	ADP	21	case
21	věci	NOUN	19	nmod
22	masového	ADJ	23	amod
23	zabíjení	NOUN	21	nmod
24	na	ADP	25	case
25	území	NOUN	23	nmod
26	Čečenské	ADJ	27	amod
27	republiky	NOUN	25	nmod
28	.	PUNCT	9	punct