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:
Pro zajímavost: v čele komise materiálně technického zabezpečení stojí bývalý první místopředseda ČMFS Jaroslav Kopecký, smírčí komisi řídí nedávný zlínský předseda Roman Brulík.
Postion	Tokenization
1	Pro
2	zajímavost
3	:
4	v
5	čele
6	komise
7	materiálně
8	technického
9	zabezpečení
10	stojí
11	bývalý
12	první
13	místopředseda
14	ČMFS
15	Jaroslav
16	Kopecký
17	,
18	smírčí
19	komisi
20	řídí
21	nedávný
22	zlínský
23	předseda
24	Roman
25	Brulík
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Pro	ADP	2	case
2	zajímavost	NOUN	0	root
3	:	PUNCT	10	punct
4	v	ADP	5	case
5	čele	NOUN	10	obl
6	komise	NOUN	5	nmod
7	materiálně	ADV	8	advmod
8	technického	ADJ	9	amod
9	zabezpečení	NOUN	6	nmod
10	stojí	VERB	2	conj
11	bývalý	ADJ	13	amod
12	první	ADJ	13	amod
13	místopředseda	NOUN	10	nsubj
14	ČMFS	PROPN	13	nmod
15	Jaroslav	PROPN	13	flat
16	Kopecký	ADJ	13	flat
17	,	PUNCT	20	punct
18	smírčí	ADJ	19	amod
19	komisi	NOUN	20	obj
20	řídí	VERB	10	conj
21	nedávný	ADJ	23	amod
22	zlínský	ADJ	23	amod
23	předseda	NOUN	20	nsubj
24	Roman	PROPN	23	flat
25	Brulík	PROPN	23	flat
26	.	PUNCT	2	punct