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:
Klaus uvedl, že výkonná rada podporuje další kroky ministerstva k urychlení reformy zdravotnictví, zejména v úhradě zdravotní péče a zavedení regulačních opatření pro činnost zdravotních pojišťoven a zdravotnických zařízení.
Postion	Tokenization
1	Klaus
2	uvedl
3	,
4	že
5	výkonná
6	rada
7	podporuje
8	další
9	kroky
10	ministerstva
11	k
12	urychlení
13	reformy
14	zdravotnictví
15	,
16	zejména
17	v
18	úhradě
19	zdravotní
20	péče
21	a
22	zavedení
23	regulačních
24	opatření
25	pro
26	činnost
27	zdravotních
28	pojišťoven
29	a
30	zdravotnických
31	zařízení
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Klaus	PROPN	2	nsubj
2	uvedl	VERB	0	root
3	,	PUNCT	7	punct
4	že	SCONJ	7	mark
5	výkonná	ADJ	6	amod
6	rada	NOUN	7	nsubj
7	podporuje	VERB	2	ccomp
8	další	ADJ	9	amod
9	kroky	NOUN	7	obj
10	ministerstva	NOUN	9	nmod
11	k	ADP	12	case
12	urychlení	NOUN	9	nmod
13	reformy	NOUN	12	nmod
14	zdravotnictví	NOUN	13	nmod
15	,	PUNCT	18	punct
16	zejména	ADV	18	advmod:emph
17	v	ADP	18	case
18	úhradě	NOUN	13	nmod
19	zdravotní	ADJ	20	amod
20	péče	NOUN	18	nmod
21	a	CCONJ	22	cc
22	zavedení	NOUN	18	conj
23	regulačních	ADJ	24	amod
24	opatření	NOUN	22	nmod
25	pro	ADP	26	case
26	činnost	NOUN	24	nmod
27	zdravotních	ADJ	28	amod
28	pojišťoven	NOUN	26	nmod
29	a	CCONJ	31	cc
30	zdravotnických	ADJ	31	amod
31	zařízení	NOUN	28	conj
32	.	PUNCT	2	punct