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 text: Sice opět poklesl prodej klasických desek (o 19.5 %), takže nyní na ně zbývají pouhá 4 % trhu, a to jen díky pozici v Číně a Jižní Koreji, ovšem vyvažuje jej nárůst prodeje kompaktních disků o 18 %: ty se podílejí na trhu 36.4 %.
Position	Tokenization	UPOS	Head	Deprel
1	Sice	ADV	3	cc
2	opět	ADV	3	advmod
3	poklesl	VERB	0	root
4	prodej	NOUN	3	nsubj
5	klasických	ADJ	6	amod
6	desek	NOUN	4	nmod
7	(	PUNCT	9	punct
8	o	ADP	9	case
9	19.5	NUM	3	obl
10	%	SYM	9	nmod
11	)	PUNCT	9	punct
12	,	PUNCT	17	punct
13	takže	SCONJ	17	mark
14	nyní	ADV	17	advmod
15	na	ADP	16	case
16	ně	PRON	17	obl
17	zbývají	VERB	3	advcl
18	pouhá	ADJ	19	amod
19	4	NUM	17	nsubj
20	%	SYM	19	nmod
21	trhu	NOUN	20	nmod
22	,	PUNCT	27	punct
23	a	CCONJ	27	cc
24	to	PART	23	fixed
25	jen	PART	27	advmod:emph
26	díky	ADP	27	case
27	pozici	NOUN	17	obl
28	v	ADP	29	case
29	Číně	PROPN	27	nmod
30	a	CCONJ	32	cc
31	Jižní	ADJ	32	amod
32	Koreji	PROPN	29	conj
33	,	PUNCT	3	punct
34	ovšem	CCONJ	3	cc
35	vyvažuje	VERB	3	parataxis
36	jej	PRON	35	obj
37	nárůst	NOUN	35	nsubj
38	prodeje	NOUN	37	nmod
39	kompaktních	ADJ	40	amod
40	disků	NOUN	38	nmod
41	o	ADP	42	case
42	18	NUM	37	nummod
43	%	SYM	42	nmod
44	:	PUNCT	47	punct
45	ty	DET	47	nsubj
46	se	PRON	47	expl:pv
47	podílejí	VERB	35	appos
48	na	ADP	49	case
49	trhu	NOUN	47	obl
50	36.4	NUM	47	obl
51	%	SYM	50	nmod
52	.	PUNCT	3	punct