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:
To však neznamená, že obvyklá hladina v jednotlivých regionech není odlišná - například Praha a lázeňská města jsou tradičně o něco "dražší", než například Hradec Králové.
Postion	Tokenization
1	To
2	však
3	neznamená
4	,
5	že
6	obvyklá
7	hladina
8	v
9	jednotlivých
10	regionech
11	není
12	odlišná
13	-
14	například
15	Praha
16	a
17	lázeňská
18	města
19	jsou
20	tradičně
21	o
22	něco
23	"
24	dražší
25	"
26	,
27	než
28	například
29	Hradec
30	Králové
31	.
Position	Tokenization	UPOS	Head	Deprel
1	To	DET	3	nsubj
2	však	CCONJ	3	cc
3	neznamená	VERB	0	root
4	,	PUNCT	12	punct
5	že	SCONJ	12	mark
6	obvyklá	ADJ	7	amod
7	hladina	NOUN	12	nsubj
8	v	ADP	10	case
9	jednotlivých	ADJ	10	amod
10	regionech	NOUN	7	nmod
11	není	AUX	12	cop
12	odlišná	ADJ	3	ccomp
13	-	PUNCT	24	punct
14	například	ADV	24	advmod
15	Praha	PROPN	24	nsubj
16	a	CCONJ	18	cc
17	lázeňská	ADJ	18	amod
18	města	NOUN	15	conj
19	jsou	AUX	24	cop
20	tradičně	ADV	24	advmod
21	o	ADP	22	case
22	něco	PRON	24	obl
23	"	PUNCT	24	punct
24	dražší	ADJ	12	advcl
25	"	PUNCT	24	punct
26	,	PUNCT	29	punct
27	než	SCONJ	29	mark
28	například	ADV	29	advmod:emph
29	Hradec	PROPN	24	advcl
30	Králové	PROPN	29	nmod
31	.	PUNCT	3	punct