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:
Tržby za prodej byly 219.84 milionu Kč, zatímco v prvním pololetí letošního roku již 137 milionů korun, jak uvedl předseda správní rady Pavel Trejtnar.
Postion	Tokenization
1	Tržby
2	za
3	prodej
4	byly
5	219.84
6	milionu
7	Kč
8	,
9	zatímco
10	v
11	prvním
12	pololetí
13	letošního
14	roku
15	již
16	137
17	milionů
18	korun
19	,
20	jak
21	uvedl
22	předseda
23	správní
24	rady
25	Pavel
26	Trejtnar
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Tržby	NOUN	6	nsubj
2	za	ADP	3	case
3	prodej	NOUN	1	nmod
4	byly	AUX	6	cop
5	219.84	NUM	6	nummod:gov
6	milionu	NOUN	0	root
7	Kč	NOUN	6	nmod
8	,	PUNCT	12	punct
9	zatímco	SCONJ	12	mark
10	v	ADP	12	case
11	prvním	ADJ	12	amod
12	pololetí	NOUN	6	dep
13	letošního	ADJ	14	amod
14	roku	NOUN	12	nmod
15	již	ADV	16	advmod:emph
16	137	NUM	17	nummod:gov
17	milionů	NOUN	12	dep
18	korun	NOUN	17	nmod
19	,	PUNCT	21	punct
20	jak	ADV	21	advmod
21	uvedl	VERB	6	parataxis
22	předseda	NOUN	21	nsubj
23	správní	ADJ	24	amod
24	rady	NOUN	22	nmod
25	Pavel	PROPN	22	flat
26	Trejtnar	PROPN	22	flat
27	.	PUNCT	6	punct