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:
Vedení společnosti hodlá v případě vítězství v soutěži zvýšit do roku 2000 obrat až na 2.8 miliardy korun, roční zisky ve výši řádově 250 miliónů korun.
Postion	Tokenization
1	Vedení
2	společnosti
3	hodlá
4	v
5	případě
6	vítězství
7	v
8	soutěži
9	zvýšit
10	do
11	roku
12	2000
13	obrat
14	až
15	na
16	2.8
17	miliardy
18	korun
19	_
20	,
21	roční
22	zisky
23	ve
24	výši
25	řádově
26	250
27	miliónů
28	korun
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Vedení	NOUN	3	nsubj
2	společnosti	NOUN	1	nmod
3	hodlá	VERB	0	root
4	v	ADP	6	case
5	případě	NOUN	4	fixed
6	vítězství	NOUN	3	obl
7	v	ADP	8	case
8	soutěži	NOUN	6	nmod
9	zvýšit	VERB	3	xcomp
10	do	ADP	11	case
11	roku	NOUN	9	obl
12	2000	NUM	11	nummod
13	obrat	NOUN	9	obj
14	až	PART	16	advmod:emph
15	na	ADP	17	case
16	2.8	NUM	17	nummod:gov
17	miliardy	NOUN	9	obl:arg
18	korun	NOUN	17	nmod
19	_	_	None	_
20	,	PUNCT	21	punct
21	roční	ADJ	21	amod
22	zisky	NOUN	3	conj
23	ve	ADP	23	case
24	výši	NOUN	21	nmod
25	řádově	ADV	21	orphan
26	250	NUM	26	nummod:gov
27	miliónů	NOUN	23	nmod
28	korun	NOUN	26	nmod
29	.	PUNCT	3	punct