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:
Zbytek je rozdělen následovně - 26 procent akcií je určeno pro druhou vlnu kupónové privatizace, 3 procenta vlastní státní Restituční investiční fond a 1 procento státní Nadační investiční fond.
Postion	Tokenization
1	Zbytek
2	je
3	rozdělen
4	následovně
5	-
6	26
7	procent
8	akcií
9	je
10	určeno
11	pro
12	druhou
13	vlnu
14	kupónové
15	privatizace
16	,
17	3
18	procenta
19	vlastní
20	státní
21	Restituční
22	investiční
23	fond
24	_
25	a
26	1
27	procento
28	státní
29	Nadační
30	investiční
31	fond
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Zbytek	NOUN	3	nsubj
2	je	AUX	3	cop
3	rozdělen	ADJ	0	root
4	následovně	ADV	3	advmod
5	-	PUNCT	10	punct
6	26	NUM	7	nummod:gov
7	procent	NOUN	10	nsubj
8	akcií	NOUN	7	nmod
9	je	AUX	10	cop
10	určeno	ADJ	4	appos
11	pro	ADP	13	case
12	druhou	ADJ	13	amod
13	vlnu	NOUN	10	obl
14	kupónové	ADJ	15	amod
15	privatizace	NOUN	13	nmod
16	,	PUNCT	19	punct
17	3	NUM	18	nummod
18	procenta	NOUN	19	obj
19	vlastní	VERB	10	conj
20	státní	ADJ	23	amod
21	Restituční	ADJ	23	amod
22	investiční	ADJ	23	amod
23	fond	NOUN	19	nsubj
24	_	_	None	_
25	a	CCONJ	26	cc
26	1	NUM	26	nummod
27	procento	NOUN	10	conj
28	státní	ADJ	30	amod
29	Nadační	ADJ	30	amod
30	investiční	ADJ	30	amod
31	fond	NOUN	26	orphan
32	.	PUNCT	3	punct