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: Ministr zdravotnictví Luděk Rubáš (ODS) je přesvědčen, že jím navrhované zavedení 55korunového poplatku za denní pobyt v nemocnici najde podporu nejen u stran vládní koalice, ale i u široké veřejnosti.
Position	Tokenization	UPOS	Head	Deprel
1	Ministr	NOUN	9	nsubj
2	zdravotnictví	NOUN	1	nmod
3	Luděk	PROPN	1	flat
4	Rubáš	PROPN	1	flat
5	(	PUNCT	1	punct
6	ODS	PROPN	1	dep
7	)	PUNCT	1	punct
8	je	AUX	9	cop
9	přesvědčen	ADJ	0	root
10	,	PUNCT	23	punct
11	že	SCONJ	23	mark
12	jím	PRON	13	obl:arg
13	navrhované	ADJ	14	amod
14	zavedení	NOUN	23	nsubj
15	55	NUM	16	obl
16	korunového	ADJ	17	amod
17	poplatku	NOUN	14	nmod
18	za	ADP	20	case
19	denní	ADJ	20	amod
20	pobyt	NOUN	17	nmod
21	v	ADP	22	case
22	nemocnici	NOUN	20	nmod
23	najde	VERB	9	ccomp
24	podporu	NOUN	23	obj
25	nejen	PART	27	advmod:emph
26	u	ADP	27	case
27	stran	NOUN	23	obl
28	vládní	ADJ	29	amod
29	koalice	NOUN	27	nmod
30	,	PUNCT	35	punct
31	ale	CCONJ	35	cc
32	i	CCONJ	35	advmod:emph
33	u	ADP	35	case
34	široké	ADJ	35	amod
35	veřejnosti	NOUN	27	conj
36	.	PUNCT	9	punct