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:
Pokles objemu obchodu, ve srovnání s pondělním obchodem o téměř 164 milionů, byl doprovázen i poklesem burzovního indexu PX 50 o 0.21% na 723.7 bodu.
Postion	Tokenization
1	Pokles
2	objemu
3	obchodu
4	,
5	ve
6	srovnání
7	s
8	pondělním
9	obchodem
10	o
11	téměř
12	164
13	milionů
14	,
15	byl
16	doprovázen
17	i
18	poklesem
19	burzovního
20	indexu
21	PX
22	50
23	o
24	0.21
25	%
26	na
27	723.7
28	bodu
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Pokles	NOUN	16	nsubj:pass
2	objemu	NOUN	1	nmod
3	obchodu	NOUN	2	nmod
4	,	PUNCT	9	punct
5	ve	ADP	9	case
6	srovnání	NOUN	5	fixed
7	s	ADP	5	fixed
8	pondělním	ADJ	9	amod
9	obchodem	NOUN	1	nmod
10	o	ADP	13	case
11	téměř	ADV	12	advmod:emph
12	164	NUM	13	nummod:gov
13	milionů	NOUN	1	nmod
14	,	PUNCT	13	punct
15	byl	AUX	16	aux:pass
16	doprovázen	ADJ	0	root
17	i	CCONJ	18	advmod:emph
18	poklesem	NOUN	16	obl:arg
19	burzovního	ADJ	20	amod
20	indexu	NOUN	18	nmod
21	PX	NOUN	20	nmod
22	50	NUM	21	nummod
23	o	ADP	24	case
24	0.21	NUM	18	nummod
25	%	SYM	24	nmod
26	na	ADP	28	case
27	723.7	NUM	28	nummod:gov
28	bodu	NOUN	18	nmod
29	.	PUNCT	16	punct