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: Přes jistý pokles profesionality se v ní objevují invenční reflexe, neustává příliv nových talentů, produkce přes obrovský růst nákladů nestagnuje: předloni vzniklo 179 filmů, vloni 137, z toho státem dotovaných 19 a 26.
Position	Tokenization	UPOS	Head	Deprel
1	Přes	ADP	3	case
2	jistý	ADJ	3	amod
3	pokles	NOUN	8	obl
4	profesionality	NOUN	3	nmod
5	se	PRON	8	expl:pv
6	v	ADP	7	case
7	ní	PRON	8	obl
8	objevují	VERB	0	root
9	invenční	ADJ	10	amod
10	reflexe	NOUN	8	nsubj
11	,	PUNCT	12	punct
12	neustává	VERB	8	conj
13	příliv	NOUN	12	nsubj
14	nových	ADJ	15	amod
15	talentů	NOUN	13	nmod
16	,	PUNCT	22	punct
17	produkce	NOUN	22	nsubj
18	přes	ADP	20	case
19	obrovský	ADJ	20	amod
20	růst	NOUN	22	obl
21	nákladů	NOUN	20	nmod
22	nestagnuje	VERB	8	conj
23	:	PUNCT	25	punct
24	předloni	ADV	25	advmod
25	vzniklo	VERB	22	appos
26	179	NUM	27	nummod:gov
27	filmů	NOUN	25	nsubj
28	_	_	None	_
29	,	PUNCT	29	punct
30	vloni	ADV	25	conj
31	137	NUM	29	orphan
32	,	PUNCT	29	punct
33	z	ADP	33	case
34	toho	DET	29	orphan
35	státem	NOUN	35	obl
36	dotovaných	ADJ	29	orphan
37	19	NUM	29	orphan
38	a	CCONJ	38	cc
39	26	NUM	36	conj
40	.	PUNCT	8	punct