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:
Zatímco průměrný plat na Slovensku dosahuje téměř šesti tisíc Sk, na vysokých školách, kde je nejvyšší podíl vysokoškolsky vzdělaných odborníků, se pohybuje mezi 4900 až 5500 korunami.
Postion	Tokenization
1	Zatímco
2	průměrný
3	plat
4	na
5	Slovensku
6	dosahuje
7	téměř
8	šesti
9	tisíc
10	Sk
11	,
12	na
13	vysokých
14	školách
15	,
16	kde
17	je
18	nejvyšší
19	podíl
20	vysokoškolsky
21	vzdělaných
22	odborníků
23	,
24	se
25	pohybuje
26	mezi
27	4900
28	až
29	5500
30	korunami
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Zatímco	SCONJ	6	mark
2	průměrný	ADJ	3	amod
3	plat	NOUN	6	nsubj
4	na	ADP	5	case
5	Slovensku	PROPN	6	obl
6	dosahuje	VERB	25	advcl
7	téměř	ADV	9	advmod:emph
8	šesti	NUM	9	compound
9	tisíc	NUM	6	obl:arg
10	Sk	NOUN	9	nmod
11	,	PUNCT	6	punct
12	na	ADP	14	case
13	vysokých	ADJ	14	amod
14	školách	NOUN	25	obl
15	,	PUNCT	17	punct
16	kde	ADV	17	advmod
17	je	VERB	14	acl:relcl
18	nejvyšší	ADJ	19	amod
19	podíl	NOUN	17	nsubj
20	vysokoškolsky	ADV	21	advmod
21	vzdělaných	ADJ	22	amod
22	odborníků	NOUN	19	nmod
23	,	PUNCT	17	punct
24	se	PRON	25	expl:pv
25	pohybuje	VERB	0	root
26	mezi	ADP	30	case
27	4900	NUM	30	nummod
28	až	CCONJ	29	cc
29	5500	NUM	27	conj
30	korunami	NOUN	25	obl
31	.	PUNCT	25	punct