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:
K blížícímu se stému výročí kinematografie se zakládá zvláštní ruský organizační výbor, jemuž Jelcinův výnos ukládá zajistit mimo jiné maximální prezentaci nejlepších ruských filmů na obrazovce.
Postion	Tokenization
1	K
2	blížícímu
3	se
4	stému
5	výročí
6	kinematografie
7	se
8	zakládá
9	zvláštní
10	ruský
11	organizační
12	výbor
13	,
14	jemuž
15	Jelcinův
16	výnos
17	ukládá
18	zajistit
19	mimo
20	jiné
21	maximální
22	prezentaci
23	nejlepších
24	ruských
25	filmů
26	na
27	obrazovce
28	.
Position	Tokenization	UPOS	Head	Deprel
1	K	ADP	5	case
2	blížícímu	ADJ	5	amod
3	se	PRON	2	expl:pv
4	stému	ADJ	5	amod
5	výročí	NOUN	8	obl
6	kinematografie	NOUN	5	nmod
7	se	PRON	8	expl:pass
8	zakládá	VERB	0	root
9	zvláštní	ADJ	12	amod
10	ruský	ADJ	12	amod
11	organizační	ADJ	12	amod
12	výbor	NOUN	8	nsubj:pass
13	,	PUNCT	17	punct
14	jemuž	PRON	17	obl:arg
15	Jelcinův	ADJ	16	amod
16	výnos	NOUN	17	nsubj
17	ukládá	VERB	12	acl:relcl
18	zajistit	VERB	17	xcomp
19	mimo	ADP	20	case
20	jiné	ADJ	18	obl
21	maximální	ADJ	22	amod
22	prezentaci	NOUN	18	obj
23	nejlepších	ADJ	25	amod
24	ruských	ADJ	25	amod
25	filmů	NOUN	22	nmod
26	na	ADP	27	case
27	obrazovce	NOUN	22	nmod
28	.	PUNCT	8	punct