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:
Jak bude celý proces transformace dlouho trvat, záleží podle náměstka ministra financí Téry na rychlosti projednání předložených materiálů ve vládě a na jeho administrativním zvládnutí.
Postion	Tokenization
1	Jak
2	bude
3	celý
4	proces
5	transformace
6	dlouho
7	trvat
8	,
9	záleží
10	podle
11	náměstka
12	ministra
13	financí
14	Téry
15	na
16	rychlosti
17	projednání
18	předložených
19	materiálů
20	ve
21	vládě
22	a
23	na
24	jeho
25	administrativním
26	zvládnutí
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Jak	ADV	6	advmod
2	bude	AUX	7	aux
3	celý	ADJ	4	amod
4	proces	NOUN	7	nsubj
5	transformace	NOUN	4	nmod
6	dlouho	ADV	7	advmod
7	trvat	VERB	9	csubj
8	,	PUNCT	7	punct
9	záleží	VERB	0	root
10	podle	ADP	11	case
11	náměstka	NOUN	9	obl
12	ministra	NOUN	11	nmod
13	financí	NOUN	12	nmod
14	Téry	PROPN	11	flat
15	na	ADP	16	case
16	rychlosti	NOUN	9	obl:arg
17	projednání	NOUN	16	nmod
18	předložených	ADJ	19	amod
19	materiálů	NOUN	17	nmod
20	ve	ADP	21	case
21	vládě	NOUN	17	nmod
22	a	CCONJ	26	cc
23	na	ADP	26	case
24	jeho	DET	26	det
25	administrativním	ADJ	26	amod
26	zvládnutí	NOUN	16	conj
27	.	PUNCT	9	punct