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 rozdíl od jiných pozorovatelů věříme, že proces ekonomické transformace je v zásadě úspěšný a je třeba jej nikoliv přibrzdit, ale výrazně urychlit.
Postion	Tokenization
1	Na
2	rozdíl
3	od
4	jiných
5	pozorovatelů
6	věříme
7	,
8	že
9	proces
10	ekonomické
11	transformace
12	je
13	v
14	zásadě
15	úspěšný
16	a
17	je
18	třeba
19	jej
20	nikoliv
21	přibrzdit
22	,
23	ale
24	výrazně
25	urychlit
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	5	case
2	rozdíl	NOUN	1	fixed
3	od	ADP	1	fixed
4	jiných	ADJ	5	amod
5	pozorovatelů	NOUN	6	obl
6	věříme	VERB	0	root
7	,	PUNCT	15	punct
8	že	SCONJ	15	mark
9	proces	NOUN	15	nsubj
10	ekonomické	ADJ	11	amod
11	transformace	NOUN	9	nmod
12	je	AUX	15	cop
13	v	ADP	14	case
14	zásadě	NOUN	15	obl
15	úspěšný	ADJ	6	ccomp
16	a	CCONJ	18	cc
17	je	AUX	18	cop
18	třeba	ADJ	15	conj
19	jej	PRON	21	obj
20	nikoliv	ADV	21	advmod:emph
21	přibrzdit	VERB	18	xcomp
22	,	PUNCT	25	punct
23	ale	CCONJ	25	cc
24	výrazně	ADV	25	advmod
25	urychlit	VERB	21	conj
26	.	PUNCT	6	punct