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:
Na začátku uplynulého týdne vydal nový ukrajinský prezident Leonid Kučma výnos o zdokonalení devizové regulace, jímž mají být napraveny předchozí kroky prezidenta Leonida Kravčuka.
Postion	Tokenization
1	Na
2	začátku
3	uplynulého
4	týdne
5	vydal
6	nový
7	ukrajinský
8	prezident
9	Leonid
10	Kučma
11	výnos
12	o
13	zdokonalení
14	devizové
15	regulace
16	,
17	jímž
18	mají
19	být
20	napraveny
21	předchozí
22	kroky
23	prezidenta
24	Leonida
25	Kravčuka
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	začátku	NOUN	5	obl
3	uplynulého	ADJ	4	amod
4	týdne	NOUN	2	nmod
5	vydal	VERB	0	root
6	nový	ADJ	8	amod
7	ukrajinský	ADJ	8	amod
8	prezident	NOUN	5	nsubj
9	Leonid	PROPN	8	flat
10	Kučma	PROPN	8	flat
11	výnos	NOUN	5	obj
12	o	ADP	13	case
13	zdokonalení	NOUN	11	nmod
14	devizové	ADJ	15	amod
15	regulace	NOUN	13	nmod
16	,	PUNCT	18	punct
17	jímž	PRON	18	obl
18	mají	VERB	11	acl:relcl
19	být	AUX	20	aux:pass
20	napraveny	ADJ	18	obj
21	předchozí	ADJ	22	amod
22	kroky	NOUN	18	nsubj
23	prezidenta	NOUN	22	nmod
24	Leonida	PROPN	23	flat
25	Kravčuka	PROPN	23	flat
26	.	PUNCT	5	punct