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:
Jak uvedl Anton Urban, tajemník výboru fotbalového klubu Slovan Bratislava, klub Slovanu v minulých dnech zabezpečil pro své fanoušky deset procent z celkového počtu 18000 vstupenek na zápas v Budapešti.
Postion	Tokenization
1	Jak
2	uvedl
3	Anton
4	Urban
5	,
6	tajemník
7	výboru
8	fotbalového
9	klubu
10	Slovan
11	Bratislava
12	,
13	klub
14	Slovanu
15	v
16	minulých
17	dnech
18	zabezpečil
19	pro
20	své
21	fanoušky
22	deset
23	procent
24	z
25	celkového
26	počtu
27	18000
28	vstupenek
29	na
30	zápas
31	v
32	Budapešti
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Jak	ADV	2	mark
2	uvedl	VERB	18	advcl
3	Anton	PROPN	2	nsubj
4	Urban	PROPN	3	flat
5	,	PUNCT	6	punct
6	tajemník	NOUN	3	appos
7	výboru	NOUN	6	nmod
8	fotbalového	ADJ	9	amod
9	klubu	NOUN	7	nmod
10	Slovan	PROPN	9	nmod
11	Bratislava	PROPN	10	nmod
12	,	PUNCT	6	punct
13	klub	NOUN	18	nsubj
14	Slovanu	PROPN	13	nmod
15	v	ADP	17	case
16	minulých	ADJ	17	amod
17	dnech	NOUN	18	obl
18	zabezpečil	VERB	0	root
19	pro	ADP	21	case
20	své	DET	21	det
21	fanoušky	NOUN	18	obl
22	deset	NUM	23	nummod:gov
23	procent	NOUN	18	obj
24	z	ADP	26	case
25	celkového	ADJ	26	amod
26	počtu	NOUN	22	nmod
27	18000	NUM	28	nummod:gov
28	vstupenek	NOUN	26	nmod
29	na	ADP	30	case
30	zápas	NOUN	22	nmod
31	v	ADP	32	case
32	Budapešti	PROPN	30	nmod
33	.	PUNCT	18	punct