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: Poměrně vysoký byl na tomto trhu i počet stagnujících akcií (osm), a tak na zvrácení včerejšího vývoje nemohly čtyři emise s poklesem cen ani pomyslet, zvláště když největší míra poklesu činila 4.68 %, bohužel v případě akcií Skláren Kavalier, což je svým způsobem také podivuhodné.
Position	Tokenization	UPOS	Head	Deprel
1	Poměrně	ADV	2	advmod
2	vysoký	ADJ	0	root
3	byl	AUX	2	cop
4	na	ADP	6	case
5	tomto	DET	6	det
6	trhu	NOUN	2	obl
7	i	CCONJ	8	advmod:emph
8	počet	NOUN	2	nsubj
9	stagnujících	ADJ	10	amod
10	akcií	NOUN	8	nmod
11	(	PUNCT	12	punct
12	osm	NUM	8	nummod
13	)	PUNCT	12	punct
14	,	PUNCT	21	punct
15	a	CCONJ	21	cc
16	tak	CCONJ	21	cc
17	na	ADP	18	case
18	zvrácení	NOUN	28	obl:arg
19	včerejšího	ADJ	20	amod
20	vývoje	NOUN	18	nmod
21	nemohly	VERB	2	conj
22	čtyři	NUM	23	nummod
23	emise	NOUN	21	nsubj
24	s	ADP	25	case
25	poklesem	NOUN	23	nmod
26	cen	NOUN	25	nmod
27	ani	CCONJ	28	advmod:emph
28	pomyslet	VERB	21	xcomp
29	,	PUNCT	35	punct
30	zvláště	ADV	35	advmod:emph
31	když	SCONJ	35	mark
32	největší	ADJ	33	amod
33	míra	NOUN	35	nsubj
34	poklesu	NOUN	33	nmod
35	činila	VERB	28	advcl
36	4.68	NUM	35	obj
37	%	SYM	36	nmod
38	,	PUNCT	39	punct
39	bohužel	PART	35	dep
40	v	ADP	42	case
41	případě	NOUN	40	fixed
42	akcií	NOUN	39	conj
43	Skláren	NOUN	42	nmod
44	Kavalier	NOUN	43	nmod
45	,	PUNCT	51	punct
46	což	PRON	51	nsubj
47	je	AUX	51	cop
48	svým	DET	49	det
49	způsobem	NOUN	51	obl
50	také	ADV	51	advmod
51	podivuhodné	ADJ	39	conj
52	.	PUNCT	2	punct