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:
Na ekonomické scéně se při hledání cest k úspěšnosti akciových společností, vznikajících privatizací státních podniků, objevují vedle ověřených metod řízení i nové prvky.
Postion	Tokenization
1	Na
2	ekonomické
3	scéně
4	se
5	při
6	hledání
7	cest
8	k
9	úspěšnosti
10	akciových
11	společností
12	,
13	vznikajících
14	privatizací
15	státních
16	podniků
17	,
18	objevují
19	vedle
20	ověřených
21	metod
22	řízení
23	i
24	nové
25	prvky
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	3	case
2	ekonomické	ADJ	3	amod
3	scéně	NOUN	18	obl
4	se	PRON	18	expl:pass
5	při	ADP	6	case
6	hledání	NOUN	18	obl
7	cest	NOUN	6	nmod
8	k	ADP	9	case
9	úspěšnosti	NOUN	7	nmod
10	akciových	ADJ	11	amod
11	společností	NOUN	9	nmod
12	,	PUNCT	13	punct
13	vznikajících	ADJ	11	amod
14	privatizací	NOUN	13	obl
15	státních	ADJ	16	amod
16	podniků	NOUN	14	nmod
17	,	PUNCT	13	punct
18	objevují	VERB	0	root
19	vedle	ADP	21	case
20	ověřených	ADJ	21	amod
21	metod	NOUN	18	obl
22	řízení	NOUN	21	nmod
23	i	CCONJ	25	advmod:emph
24	nové	ADJ	25	amod
25	prvky	NOUN	18	nsubj:pass
26	.	PUNCT	18	punct