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:
Nejčastější starosti má tamní stavební úřad s tržnicemi, kde si podnikatelé staví na pronajatých pozemcích bez povolení stánky.
Postion	Tokenization
1	Nejčastější
2	starosti
3	má
4	tamní
5	stavební
6	úřad
7	s
8	tržnicemi
9	,
10	kde
11	si
12	podnikatelé
13	staví
14	na
15	pronajatých
16	pozemcích
17	bez
18	povolení
19	stánky
20	.
Position	Tokenization	UPOS	Head	Deprel
1	Nejčastější	ADJ	2	amod
2	starosti	NOUN	3	obj
3	má	VERB	0	root
4	tamní	ADJ	6	amod
5	stavební	ADJ	6	amod
6	úřad	NOUN	3	nsubj
7	s	ADP	8	case
8	tržnicemi	NOUN	2	nmod
9	,	PUNCT	13	punct
10	kde	ADV	13	advmod
11	si	PRON	13	obl
12	podnikatelé	NOUN	13	nsubj
13	staví	VERB	8	acl:relcl
14	na	ADP	16	case
15	pronajatých	ADJ	16	amod
16	pozemcích	NOUN	13	obl
17	bez	ADP	18	case
18	povolení	NOUN	13	obl
19	stánky	NOUN	13	obj
20	.	PUNCT	3	punct