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: Velká studia se v rámci privatizace rozpadla na množství minipodniků a výrazným zdražením poskytovaných služeb (k němu je tlačí vysoké zdanění) prakticky vyhnala tvůrce z ateliérů, pronajímaných k nefilmovým účelům.
Position	Tokenization	UPOS	Head	Deprel
1	Velká	ADJ	2	amod
2	studia	NOUN	7	nsubj
3	se	PRON	7	expl:pv
4	v	ADP	6	case
5	rámci	NOUN	4	fixed
6	privatizace	NOUN	7	obl
7	rozpadla	VERB	0	root
8	na	ADP	9	case
9	množství	NOUN	7	obl
10	minipodniků	NOUN	9	nmod
11	a	CCONJ	25	cc
12	výrazným	ADJ	13	amod
13	zdražením	NOUN	25	obl
14	poskytovaných	ADJ	15	amod
15	služeb	NOUN	13	nmod
16	(	PUNCT	20	punct
17	k	ADP	18	case
18	němu	PRON	20	obl
19	je	PRON	20	obj
20	tlačí	VERB	13	acl
21	vysoké	ADJ	22	amod
22	zdanění	NOUN	20	nsubj
23	)	PUNCT	20	punct
24	prakticky	ADV	25	advmod
25	vyhnala	VERB	7	conj
26	tvůrce	NOUN	25	obj
27	z	ADP	28	case
28	ateliérů	NOUN	25	obl
29	,	PUNCT	30	punct
30	pronajímaných	ADJ	28	amod
31	k	ADP	33	case
32	nefilmovým	ADJ	33	amod
33	účelům	NOUN	30	obl
34	.	PUNCT	7	punct