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:
"Co se bude dít příští roky, nevíme," říká nám vedoucí lyžařského areálu a zároveň předseda oddílu lyžování TJ MEZ Frenštát pod Radhoštěm Jiří Sedláček.
Postion	Tokenization
1	"
2	Co
3	se
4	bude
5	dít
6	příští
7	roky
8	,
9	nevíme
10	,
11	"
12	říká
13	nám
14	vedoucí
15	lyžařského
16	areálu
17	a
18	zároveň
19	předseda
20	oddílu
21	lyžování
22	TJ
23	MEZ
24	Frenštát
25	pod
26	Radhoštěm
27	Jiří
28	Sedláček
29	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	9	punct
2	Co	PRON	5	nsubj
3	se	PRON	5	expl:pv
4	bude	AUX	5	aux
5	dít	VERB	9	ccomp
6	příští	ADJ	7	amod
7	roky	NOUN	5	obl
8	,	PUNCT	5	punct
9	nevíme	VERB	12	ccomp
10	,	PUNCT	9	punct
11	"	PUNCT	9	punct
12	říká	VERB	0	root
13	nám	PRON	12	obl:arg
14	vedoucí	NOUN	27	nmod
15	lyžařského	ADJ	16	amod
16	areálu	NOUN	14	obl
17	a	CCONJ	19	cc
18	zároveň	ADV	14	advmod
19	předseda	NOUN	14	conj
20	oddílu	NOUN	19	nmod
21	lyžování	NOUN	20	nmod
22	TJ	PROPN	21	nmod
23	MEZ	PROPN	22	nmod
24	Frenštát	PROPN	22	nmod
25	pod	ADP	26	case
26	Radhoštěm	PROPN	24	nmod
27	Jiří	PROPN	12	nsubj
28	Sedláček	PROPN	27	flat
29	.	PUNCT	12	punct