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:
Letos bude dokonce program tak nabitý (a to nejen na pódiu lipnického amfiteátru, ale i na přilehlém hradě a v jeho okolí), jak doposud nebýval.
Postion	Tokenization
1	Letos
2	bude
3	dokonce
4	program
5	tak
6	nabitý
7	(
8	a
9	to
10	nejen
11	na
12	pódiu
13	lipnického
14	amfiteátru
15	,
16	ale
17	i
18	na
19	přilehlém
20	hradě
21	a
22	v
23	jeho
24	okolí
25	)
26	,
27	jak
28	doposud
29	nebýval
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Letos	ADV	6	advmod
2	bude	AUX	6	cop
3	dokonce	ADV	6	advmod:emph
4	program	NOUN	6	nsubj
5	tak	ADV	6	advmod
6	nabitý	ADJ	0	root
7	(	PUNCT	12	punct
8	a	CCONJ	12	cc
9	to	PART	8	fixed
10	nejen	PART	12	advmod:emph
11	na	ADP	12	case
12	pódiu	NOUN	4	nmod
13	lipnického	ADJ	14	amod
14	amfiteátru	NOUN	12	nmod
15	,	PUNCT	20	punct
16	ale	CCONJ	20	cc
17	i	CCONJ	20	advmod:emph
18	na	ADP	20	case
19	přilehlém	ADJ	20	amod
20	hradě	NOUN	12	conj
21	a	CCONJ	24	cc
22	v	ADP	24	case
23	jeho	DET	24	det
24	okolí	NOUN	20	conj
25	)	PUNCT	12	punct
26	,	PUNCT	29	punct
27	jak	ADV	29	advmod
28	doposud	ADV	29	advmod
29	nebýval	VERB	6	advcl
30	.	PUNCT	6	punct