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:
Výkonný výbor Českého svazu ledního hokeje vyhověl prvoligové Kometě Brno a zmírnil její trest za výtržnosti diváků v utkání s Jindřichovým Hradcem, které se hrálo 11. února.
Postion	Tokenization
1	Výkonný
2	výbor
3	Českého
4	svazu
5	ledního
6	hokeje
7	vyhověl
8	prvoligové
9	Kometě
10	Brno
11	a
12	zmírnil
13	její
14	trest
15	za
16	výtržnosti
17	diváků
18	v
19	utkání
20	s
21	Jindřichovým
22	Hradcem
23	,
24	které
25	se
26	hrálo
27	11
28	.
29	února
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Výkonný	ADJ	2	amod
2	výbor	NOUN	7	nsubj
3	Českého	ADJ	4	amod
4	svazu	NOUN	2	nmod
5	ledního	ADJ	6	amod
6	hokeje	NOUN	4	nmod
7	vyhověl	VERB	0	root
8	prvoligové	ADJ	9	amod
9	Kometě	NOUN	7	obl:arg
10	Brno	PROPN	9	nmod
11	a	CCONJ	12	cc
12	zmírnil	VERB	7	conj
13	její	DET	14	det
14	trest	NOUN	12	obj
15	za	ADP	16	case
16	výtržnosti	NOUN	14	nmod
17	diváků	NOUN	16	nmod
18	v	ADP	19	case
19	utkání	NOUN	16	nmod
20	s	ADP	22	case
21	Jindřichovým	ADJ	22	amod
22	Hradcem	PROPN	19	nmod
23	,	PUNCT	26	punct
24	které	DET	26	nsubj:pass
25	se	PRON	26	expl:pass
26	hrálo	VERB	19	acl:relcl
27	11	NUM	29	nummod
28	.	PUNCT	27	punct
29	února	NOUN	26	obl
30	.	PUNCT	7	punct