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:
Soutěž o cenu Vynikající podnikatel byla Československým manažerským centrem vytvořena jako uznání jednotlivcům, kteří byli úspěšní při zakládání nebo řízení soukromých firem.
Postion	Tokenization
1	Soutěž
2	o
3	cenu
4	Vynikající
5	podnikatel
6	byla
7	Československým
8	manažerským
9	centrem
10	vytvořena
11	jako
12	uznání
13	jednotlivcům
14	,
15	kteří
16	byli
17	úspěšní
18	při
19	zakládání
20	nebo
21	řízení
22	soukromých
23	firem
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Soutěž	NOUN	10	nsubj:pass
2	o	ADP	3	case
3	cenu	NOUN	1	nmod
4	Vynikající	ADJ	5	amod
5	podnikatel	NOUN	3	nmod
6	byla	AUX	10	aux:pass
7	Československým	ADJ	9	amod
8	manažerským	ADJ	9	amod
9	centrem	NOUN	10	obl:arg
10	vytvořena	ADJ	0	root
11	jako	SCONJ	12	mark
12	uznání	NOUN	1	xcomp
13	jednotlivcům	NOUN	12	nmod
14	,	PUNCT	17	punct
15	kteří	DET	17	nsubj
16	byli	AUX	17	cop
17	úspěšní	ADJ	13	acl:relcl
18	při	ADP	19	case
19	zakládání	NOUN	17	obl
20	nebo	CCONJ	21	cc
21	řízení	NOUN	19	conj
22	soukromých	ADJ	23	amod
23	firem	NOUN	19	nmod
24	.	PUNCT	10	punct