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:
Snahou dramaturgů Petra Daňka a Ladislava Švestky bylo, aby při něm zněla hudba související s prostředím Pražského hradu co nejčastěji.
Postion	Tokenization
1	Snahou
2	dramaturgů
3	Petra
4	Daňka
5	a
6	Ladislava
7	Švestky
8	bylo
9	,
10	aby
11	aby
12	by
13	při
14	něm
15	zněla
16	hudba
17	související
18	s
19	prostředím
20	Pražského
21	hradu
22	co
23	nejčastěji
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Snahou	NOUN	0	root
2	dramaturgů	NOUN	3	nmod
3	Petra	PROPN	1	nmod
4	Daňka	PROPN	3	flat
5	a	CCONJ	6	cc
6	Ladislava	PROPN	3	conj
7	Švestky	PROPN	6	flat
8	bylo	AUX	1	cop
9	,	PUNCT	14	punct
10	aby	_	None	_
11	aby	SCONJ	14	mark
12	by	AUX	14	aux
13	při	ADP	13	case
14	něm	PRON	14	obl
15	zněla	VERB	1	csubj
16	hudba	NOUN	14	nsubj
17	související	ADJ	15	amod
18	s	ADP	18	case
19	prostředím	NOUN	16	obl:arg
20	Pražského	ADJ	20	amod
21	hradu	NOUN	18	nmod
22	co	ADV	22	advmod
23	nejčastěji	ADV	14	advmod
24	.	PUNCT	1	punct