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:
Tento úspěšný muž uzavřel před rokem dohodu s Městským úřadem v Rimavské Sobotě, zavázal se, že zastaví devastaci a zlepší životní podmínky v romském sídlišti nazývaném Černé město, ve kterém žije kolem 900 obyvatel.
Postion	Tokenization
1	Tento
2	úspěšný
3	muž
4	uzavřel
5	před
6	rokem
7	dohodu
8	s
9	Městským
10	úřadem
11	v
12	Rimavské
13	Sobotě
14	,
15	zavázal
16	se
17	,
18	že
19	zastaví
20	devastaci
21	a
22	zlepší
23	životní
24	podmínky
25	v
26	romském
27	sídlišti
28	nazývaném
29	Černé
30	město
31	,
32	ve
33	kterém
34	žije
35	kolem
36	900
37	obyvatel
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Tento	DET	3	det
2	úspěšný	ADJ	3	amod
3	muž	NOUN	4	nsubj
4	uzavřel	VERB	0	root
5	před	ADP	6	case
6	rokem	NOUN	4	obl
7	dohodu	NOUN	4	obj
8	s	ADP	10	case
9	Městským	ADJ	10	amod
10	úřadem	NOUN	7	nmod
11	v	ADP	13	case
12	Rimavské	ADJ	13	amod
13	Sobotě	NOUN	10	nmod
14	,	PUNCT	15	punct
15	zavázal	VERB	4	conj
16	se	PRON	15	expl:pv
17	,	PUNCT	19	punct
18	že	SCONJ	19	mark
19	zastaví	VERB	15	ccomp
20	devastaci	NOUN	19	obj
21	a	CCONJ	22	cc
22	zlepší	VERB	19	conj
23	životní	ADJ	24	amod
24	podmínky	NOUN	22	obj
25	v	ADP	27	case
26	romském	ADJ	27	amod
27	sídlišti	NOUN	22	obl
28	nazývaném	ADJ	27	amod
29	Černé	ADJ	30	amod
30	město	NOUN	28	obj
31	,	PUNCT	34	punct
32	ve	ADP	33	case
33	kterém	DET	34	obl
34	žije	VERB	27	acl:relcl
35	kolem	ADP	36	case
36	900	NUM	34	nsubj
37	obyvatel	NOUN	36	nmod
38	.	PUNCT	4	punct