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:
Oznámila to bez bližších podrobností ruská agentura ITAR-TASS s odvoláním na zdroje z okolí bývalého předsedy ruského parlamentu Ruslana Chasbulatova, který je čečenské národnosti.
Postion	Tokenization
1	Oznámila
2	to
3	bez
4	bližších
5	podrobností
6	ruská
7	agentura
8	ITAR
9	-
10	TASS
11	s
12	odvoláním
13	na
14	zdroje
15	z
16	okolí
17	bývalého
18	předsedy
19	ruského
20	parlamentu
21	Ruslana
22	Chasbulatova
23	,
24	který
25	je
26	čečenské
27	národnosti
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Oznámila	VERB	0	root
2	to	DET	1	obj
3	bez	ADP	5	case
4	bližších	ADJ	5	amod
5	podrobností	NOUN	1	obl
6	ruská	ADJ	7	amod
7	agentura	NOUN	1	nsubj
8	ITAR	PROPN	7	nmod
9	-	PUNCT	10	punct
10	TASS	PROPN	8	flat:foreign
11	s	ADP	12	case
12	odvoláním	NOUN	1	obl
13	na	ADP	14	case
14	zdroje	NOUN	12	nmod
15	z	ADP	16	case
16	okolí	NOUN	14	nmod
17	bývalého	ADJ	18	amod
18	předsedy	NOUN	16	nmod
19	ruského	ADJ	20	amod
20	parlamentu	NOUN	18	nmod
21	Ruslana	PROPN	18	flat
22	Chasbulatova	PROPN	18	flat
23	,	PUNCT	27	punct
24	který	DET	27	nsubj
25	je	AUX	27	cop
26	čečenské	ADJ	27	amod
27	národnosti	NOUN	18	acl:relcl
28	.	PUNCT	1	punct