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:
Z dokumentu dále vyplývá, že v roce 1993 bylo celkově na podporu zejména malého a středního podnikání poskytnuto z rozpočtových prostředků více než 11 miliard korun.
Postion	Tokenization
1	Z
2	dokumentu
3	dále
4	vyplývá
5	,
6	že
7	v
8	roce
9	1993
10	bylo
11	celkově
12	na
13	podporu
14	zejména
15	malého
16	a
17	středního
18	podnikání
19	poskytnuto
20	z
21	rozpočtových
22	prostředků
23	více
24	než
25	11
26	miliard
27	korun
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Z	ADP	2	case
2	dokumentu	NOUN	4	obl
3	dále	ADV	4	advmod
4	vyplývá	VERB	0	root
5	,	PUNCT	19	punct
6	že	SCONJ	19	mark
7	v	ADP	8	case
8	roce	NOUN	19	obl
9	1993	NUM	8	nummod
10	bylo	AUX	19	aux:pass
11	celkově	ADV	19	advmod
12	na	ADP	13	case
13	podporu	NOUN	19	obl
14	zejména	ADV	18	advmod:emph
15	malého	ADJ	18	amod
16	a	CCONJ	17	cc
17	středního	ADJ	15	conj
18	podnikání	NOUN	13	nmod
19	poskytnuto	ADJ	4	nsubj
20	z	ADP	22	case
21	rozpočtových	ADJ	22	amod
22	prostředků	NOUN	19	obl
23	více	ADV	19	nsubj:pass
24	než	SCONJ	26	mark
25	11	NUM	26	nummod:gov
26	miliard	NOUN	23	obl
27	korun	NOUN	23	nmod
28	.	PUNCT	4	punct