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:
Zjednodušeně lze říci, že ceny průměrných obrazů Mařákovců se ve Vadamu pohybují mezi 30 a 40 tisíci zatímco v Solidetu mezi deseti a dvaceti tisíci.
Postion	Tokenization
1	Zjednodušeně
2	lze
3	říci
4	,
5	že
6	ceny
7	průměrných
8	obrazů
9	Mařákovců
10	se
11	ve
12	Vadamu
13	pohybují
14	mezi
15	30
16	a
17	40
18	tisíci
19	zatímco
20	v
21	Solidetu
22	mezi
23	deseti
24	a
25	dvaceti
26	tisíci
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Zjednodušeně	ADV	3	advmod
2	lze	VERB	0	root
3	říci	VERB	2	csubj
4	,	PUNCT	13	punct
5	že	SCONJ	13	mark
6	ceny	NOUN	13	nsubj
7	průměrných	ADJ	8	amod
8	obrazů	NOUN	6	nmod
9	Mařákovců	NOUN	8	nmod
10	se	PRON	13	expl:pv
11	ve	ADP	12	case
12	Vadamu	PROPN	13	obl
13	pohybují	VERB	3	ccomp
14	mezi	ADP	15	case
15	30	NUM	13	obl
16	a	CCONJ	17	cc
17	40	NUM	15	conj
18	tisíci	NOUN	15	nmod
19	zatímco	SCONJ	21	mark
20	v	ADP	21	case
21	Solidetu	PROPN	13	dep
22	mezi	ADP	23	case
23	deseti	NUM	21	dep
24	a	CCONJ	25	cc
25	dvaceti	NUM	23	conj
26	tisíci	NOUN	23	nmod
27	.	PUNCT	2	punct