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 text: Zkušenosti Ministerstva hospodářství ČR z loňského roku ukazují, že vzhledem k postupnému zlepšování informovanosti podnikatelů o programech podpory se podstatně zvýšil i jejich zájem o získání finančních dotací od státu.
Position	Tokenization	UPOS	Head	Deprel
1	Zkušenosti	NOUN	8	nsubj
2	Ministerstva	NOUN	1	nmod
3	hospodářství	NOUN	2	nmod
4	ČR	PROPN	3	nmod
5	z	ADP	7	case
6	loňského	ADJ	7	amod
7	roku	NOUN	1	nmod
8	ukazují	VERB	0	root
9	,	PUNCT	22	punct
10	že	SCONJ	22	mark
11	vzhledem	ADP	14	case
12	k	ADP	11	fixed
13	postupnému	ADJ	14	amod
14	zlepšování	NOUN	22	obl
15	informovanosti	NOUN	14	nmod
16	podnikatelů	NOUN	15	nmod
17	o	ADP	18	case
18	programech	NOUN	15	nmod
19	podpory	NOUN	18	nmod
20	se	PRON	22	expl:pv
21	podstatně	ADV	22	advmod
22	zvýšil	VERB	8	ccomp
23	i	CCONJ	25	advmod:emph
24	jejich	DET	25	det
25	zájem	NOUN	22	nsubj
26	o	ADP	27	case
27	získání	NOUN	25	nmod
28	finančních	ADJ	29	amod
29	dotací	NOUN	27	nmod
30	od	ADP	31	case
31	státu	NOUN	29	nmod
32	.	PUNCT	8	punct