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:
Zároveň ale dobře víme, že ceny nájemného, tepla, elektřiny, telefonních služeb, dopravy i řady dalších položek se značným významem pro rozpočty domácností postupně porostou.
Postion	Tokenization
1	Zároveň
2	ale
3	dobře
4	víme
5	,
6	že
7	ceny
8	nájemného
9	,
10	tepla
11	,
12	elektřiny
13	,
14	telefonních
15	služeb
16	,
17	dopravy
18	i
19	řady
20	dalších
21	položek
22	se
23	značným
24	významem
25	pro
26	rozpočty
27	domácností
28	postupně
29	porostou
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Zároveň	ADV	4	advmod
2	ale	CCONJ	4	cc
3	dobře	ADV	4	advmod
4	víme	VERB	0	root
5	,	PUNCT	29	punct
6	že	SCONJ	29	mark
7	ceny	NOUN	29	nsubj
8	nájemného	NOUN	7	nmod
9	,	PUNCT	10	punct
10	tepla	NOUN	8	conj
11	,	PUNCT	12	punct
12	elektřiny	NOUN	8	conj
13	,	PUNCT	15	punct
14	telefonních	ADJ	15	amod
15	služeb	NOUN	8	conj
16	,	PUNCT	17	punct
17	dopravy	NOUN	8	conj
18	i	CCONJ	19	cc
19	řady	NOUN	8	conj
20	dalších	ADJ	21	amod
21	položek	NOUN	19	nmod
22	se	ADP	24	case
23	značným	ADJ	24	amod
24	významem	NOUN	21	nmod
25	pro	ADP	26	case
26	rozpočty	NOUN	24	nmod
27	domácností	NOUN	26	nmod
28	postupně	ADV	29	advmod
29	porostou	VERB	4	ccomp
30	.	PUNCT	4	punct