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:
Z této kompetenční nevyjasněnosti těží především předseda Klaus, který má- díky své schopnosti pružně reagovat a improvizovat- rozhodující vliv na znění přijímaných návrhů.
Postion	Tokenization
1	Z
2	této
3	kompetenční
4	nevyjasněnosti
5	těží
6	především
7	předseda
8	Klaus
9	,
10	který
11	má
12	-
13	díky
14	své
15	schopnosti
16	pružně
17	reagovat
18	a
19	improvizovat
20	-
21	rozhodující
22	vliv
23	na
24	znění
25	přijímaných
26	návrhů
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Z	ADP	4	case
2	této	DET	4	det
3	kompetenční	ADJ	4	amod
4	nevyjasněnosti	NOUN	5	obl
5	těží	VERB	0	root
6	především	ADV	7	advmod:emph
7	předseda	NOUN	5	nsubj
8	Klaus	PROPN	7	flat
9	,	PUNCT	11	punct
10	který	DET	11	nsubj
11	má	VERB	7	acl:relcl
12	-	PUNCT	15	punct
13	díky	ADP	15	case
14	své	DET	15	det
15	schopnosti	NOUN	11	obl
16	pružně	ADV	17	advmod
17	reagovat	VERB	15	acl
18	a	CCONJ	19	cc
19	improvizovat	VERB	17	conj
20	-	PUNCT	15	punct
21	rozhodující	ADJ	22	amod
22	vliv	NOUN	11	obj
23	na	ADP	24	case
24	znění	NOUN	22	nmod
25	přijímaných	ADJ	26	amod
26	návrhů	NOUN	24	nmod
27	.	PUNCT	5	punct