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 text: Ministerstvo neočekává a ani nežádá podstatné zvýšení rozpočtu, neboť, jak řekl náměstek ministra Jan Koucký, i pro oblast vzdělání je důležitější celkově zdravá ekonomika státu než co jiného.
Position	Tokenization	UPOS	Head	Deprel
1	Ministerstvo	NOUN	2	nsubj
2	neočekává	VERB	0	root
3	a	CCONJ	5	cc
4	ani	CCONJ	5	advmod:emph
5	nežádá	VERB	2	conj
6	podstatné	ADJ	7	amod
7	zvýšení	NOUN	2	obj
8	rozpočtu	NOUN	7	nmod
9	,	PUNCT	24	punct
10	neboť	CCONJ	24	cc
11	,	PUNCT	13	punct
12	jak	ADV	13	advmod
13	řekl	VERB	24	parataxis
14	náměstek	NOUN	13	nsubj
15	ministra	NOUN	14	nmod
16	Jan	PROPN	14	flat
17	Koucký	PROPN	14	flat
18	,	PUNCT	13	punct
19	i	CCONJ	21	advmod:emph
20	pro	ADP	21	case
21	oblast	NOUN	24	obl
22	vzdělání	NOUN	21	nmod
23	je	AUX	24	cop
24	důležitější	ADJ	2	conj
25	celkově	ADV	26	advmod
26	zdravá	ADJ	27	amod
27	ekonomika	NOUN	24	nsubj
28	státu	NOUN	27	nmod
29	než	SCONJ	30	mark
30	co	PRON	24	advcl
31	jiného	ADJ	30	amod
32	.	PUNCT	2	punct