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:
Jelikož na toto téma již jednou s prezidentem NKÚ Lubomírem Voleníkem hovořil ministr Němec, měl by se tentokrát sejít s vedením NKÚ sám premiér.
Postion	Tokenization
1	Jelikož
2	na
3	toto
4	téma
5	již
6	jednou
7	s
8	prezidentem
9	NKÚ
10	Lubomírem
11	Voleníkem
12	hovořil
13	ministr
14	Němec
15	,
16	měl
17	by
18	se
19	tentokrát
20	sejít
21	s
22	vedením
23	NKÚ
24	sám
25	premiér
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Jelikož	SCONJ	12	mark
2	na	ADP	4	case
3	toto	DET	4	det
4	téma	NOUN	12	obl
5	již	ADV	6	advmod:emph
6	jednou	ADV	12	obl
7	s	ADP	8	case
8	prezidentem	NOUN	12	obl:arg
9	NKÚ	PROPN	8	nmod
10	Lubomírem	PROPN	8	flat
11	Voleníkem	PROPN	8	flat
12	hovořil	VERB	16	advcl
13	ministr	NOUN	12	nsubj
14	Němec	PROPN	13	flat
15	,	PUNCT	12	punct
16	měl	VERB	0	root
17	by	AUX	16	aux
18	se	PRON	20	expl:pv
19	tentokrát	ADV	20	advmod
20	sejít	VERB	16	xcomp
21	s	ADP	22	case
22	vedením	NOUN	20	obl:arg
23	NKÚ	PROPN	22	nmod
24	sám	DET	25	xcomp
25	premiér	NOUN	16	nsubj
26	.	PUNCT	16	punct