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:
Některé novinky této firmy mají podle představitele spolupořádajícího časopisu Muzikus Daniela Andela na pražském veletrhu svou evropskou premiéru- například klávesový nástroj pro virtuální akustickou syntézu.
Postion	Tokenization
1	Některé
2	novinky
3	této
4	firmy
5	mají
6	podle
7	představitele
8	spolupořádajícího
9	časopisu
10	Muzikus
11	Daniela
12	Andela
13	na
14	pražském
15	veletrhu
16	svou
17	evropskou
18	premiéru
19	-
20	například
21	klávesový
22	nástroj
23	pro
24	virtuální
25	akustickou
26	syntézu
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Některé	DET	2	det
2	novinky	NOUN	5	nsubj
3	této	DET	4	det
4	firmy	NOUN	2	nmod
5	mají	VERB	0	root
6	podle	ADP	7	case
7	představitele	NOUN	5	obl
8	spolupořádajícího	ADJ	9	amod
9	časopisu	NOUN	7	nmod
10	Muzikus	NOUN	9	nmod
11	Daniela	PROPN	7	flat
12	Andela	PROPN	7	flat
13	na	ADP	15	case
14	pražském	ADJ	15	amod
15	veletrhu	NOUN	5	obl
16	svou	DET	18	det
17	evropskou	ADJ	18	amod
18	premiéru	NOUN	5	obj
19	-	PUNCT	5	punct
20	například	ADV	22	advmod:emph
21	klávesový	ADJ	22	amod
22	nástroj	NOUN	5	dep
23	pro	ADP	26	case
24	virtuální	ADJ	26	amod
25	akustickou	ADJ	26	amod
26	syntézu	NOUN	22	nmod
27	.	PUNCT	5	punct