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:
Městská rada, unavená setrvalým hledáním způsobu, jak pokrýt schodek městského rozpočtu, se rozhodla využít netradičních zdrojů, jež uniknou bdělému oku předsedy vlády.
Postion	Tokenization
1	Městská
2	rada
3	,
4	unavená
5	setrvalým
6	hledáním
7	způsobu
8	,
9	jak
10	pokrýt
11	schodek
12	městského
13	rozpočtu
14	,
15	se
16	rozhodla
17	využít
18	netradičních
19	zdrojů
20	,
21	jež
22	uniknou
23	bdělému
24	oku
25	předsedy
26	vlády
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Městská	ADJ	2	amod
2	rada	NOUN	16	nsubj
3	,	PUNCT	4	punct
4	unavená	ADJ	2	amod
5	setrvalým	ADJ	6	amod
6	hledáním	NOUN	4	obl:arg
7	způsobu	NOUN	6	nmod
8	,	PUNCT	10	punct
9	jak	ADV	10	advmod
10	pokrýt	VERB	7	acl
11	schodek	NOUN	10	obj
12	městského	ADJ	13	amod
13	rozpočtu	NOUN	11	nmod
14	,	PUNCT	10	punct
15	se	PRON	16	expl:pv
16	rozhodla	VERB	0	root
17	využít	VERB	16	xcomp
18	netradičních	ADJ	19	amod
19	zdrojů	NOUN	17	obl:arg
20	,	PUNCT	22	punct
21	jež	PRON	22	nsubj
22	uniknou	VERB	19	acl:relcl
23	bdělému	ADJ	24	amod
24	oku	NOUN	22	obl:arg
25	předsedy	NOUN	24	nmod
26	vlády	NOUN	25	nmod
27	.	PUNCT	16	punct