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:
I ministr raději vyzývá novináře, aby po podobných případech pátrali, než aby se zasadil o komplexní prověrku celého problému např. pracovníky NKÚ.
Postion	Tokenization
1	I
2	ministr
3	raději
4	vyzývá
5	novináře
6	,
7	aby
8	aby
9	by
10	po
11	podobných
12	případech
13	pátrali
14	,
15	než
16	aby
17	aby
18	by
19	se
20	zasadil
21	o
22	komplexní
23	prověrku
24	celého
25	problému
26	např
27	.
28	pracovníky
29	NKÚ
30	.
Position	Tokenization	UPOS	Head	Deprel
1	I	CCONJ	2	advmod:emph
2	ministr	NOUN	4	nsubj
3	raději	ADV	4	advmod
4	vyzývá	VERB	0	root
5	novináře	NOUN	4	iobj
6	,	PUNCT	12	punct
7	aby	_	None	_
8	aby	SCONJ	12	mark
9	by	AUX	12	aux
10	po	ADP	11	case
11	podobných	ADJ	11	amod
12	případech	NOUN	12	obl:arg
13	pátrali	VERB	4	ccomp
14	,	PUNCT	18	punct
15	než	SCONJ	18	mark
16	aby	_	None	_
17	aby	SCONJ	18	mark
18	by	AUX	18	aux
19	se	PRON	18	expl:pv
20	zasadil	VERB	3	dep
21	o	ADP	21	case
22	komplexní	ADJ	21	amod
23	prověrku	NOUN	18	obl:arg
24	celého	ADJ	23	amod
25	problému	NOUN	21	nmod
26	např	ADV	26	advmod:emph
27	.	PUNCT	24	punct
28	pracovníky	NOUN	21	nmod
29	NKÚ	PROPN	26	nmod
30	.	PUNCT	4	punct