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:
Kompaktním deskám přikládá při budování image svého orchestru mimořádnou důležitost a má k tomu prý dva perspektivní partnery - druhou největší japonskou firmu Pony Canyon a německou společnost Orfeo.
Postion	Tokenization
1	Kompaktním
2	deskám
3	přikládá
4	při
5	budování
6	image
7	svého
8	orchestru
9	mimořádnou
10	důležitost
11	a
12	má
13	k
14	tomu
15	prý
16	dva
17	perspektivní
18	partnery
19	-
20	druhou
21	největší
22	japonskou
23	firmu
24	Pony
25	Canyon
26	a
27	německou
28	společnost
29	Orfeo
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Kompaktním	ADJ	2	amod
2	deskám	NOUN	3	obl:arg
3	přikládá	VERB	0	root
4	při	ADP	5	case
5	budování	NOUN	3	obl
6	image	NOUN	5	nmod
7	svého	DET	8	det
8	orchestru	NOUN	6	nmod
9	mimořádnou	ADJ	10	amod
10	důležitost	NOUN	3	obj
11	a	CCONJ	12	cc
12	má	VERB	3	conj
13	k	ADP	14	case
14	tomu	DET	12	obl
15	prý	PART	12	advmod
16	dva	NUM	18	nummod
17	perspektivní	ADJ	18	amod
18	partnery	NOUN	12	obj
19	-	PUNCT	23	punct
20	druhou	ADJ	23	amod
21	největší	ADJ	23	amod
22	japonskou	ADJ	23	amod
23	firmu	NOUN	18	appos
24	Pony	ADJ	25	amod
25	Canyon	PROPN	23	nmod
26	a	CCONJ	28	cc
27	německou	ADJ	28	amod
28	společnost	NOUN	23	conj
29	Orfeo	PROPN	28	nmod
30	.	PUNCT	3	punct