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:
Poté, co majitelé nereagovali na opakované příkazy k odklizení stavby, stavební úřad letos v srpnu rozhodl, že demolici provedou na náklady stavebníků najaté firmy.
Postion	Tokenization
1	Poté
2	,
3	co
4	majitelé
5	nereagovali
6	na
7	opakované
8	příkazy
9	k
10	odklizení
11	stavby
12	,
13	stavební
14	úřad
15	letos
16	v
17	srpnu
18	rozhodl
19	,
20	že
21	demolici
22	provedou
23	na
24	náklady
25	stavebníků
26	najaté
27	firmy
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Poté	ADV	18	advmod
2	,	PUNCT	5	punct
3	co	SCONJ	5	mark
4	majitelé	NOUN	5	nsubj
5	nereagovali	VERB	18	advcl
6	na	ADP	8	case
7	opakované	ADJ	8	amod
8	příkazy	NOUN	5	obl:arg
9	k	ADP	10	case
10	odklizení	NOUN	8	nmod
11	stavby	NOUN	10	nmod
12	,	PUNCT	5	punct
13	stavební	ADJ	14	amod
14	úřad	NOUN	18	nsubj
15	letos	ADV	18	advmod
16	v	ADP	17	case
17	srpnu	NOUN	18	obl
18	rozhodl	VERB	0	root
19	,	PUNCT	22	punct
20	že	SCONJ	22	mark
21	demolici	NOUN	22	obj
22	provedou	VERB	18	ccomp
23	na	ADP	24	case
24	náklady	NOUN	22	obl
25	stavebníků	NOUN	24	nmod
26	najaté	ADJ	27	amod
27	firmy	NOUN	22	nsubj
28	.	PUNCT	18	punct