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: Oproti přidrzlé, leč vesměs nápaditě stylizované pubertální recesi teenagerů odkojených klipovou a reklamní kulturou MTV, které nechyběl potřebný sebeironický nadhled, budí dvojka zdání, že její tvůrci vařili z hodně nastavované kaše.
Position	Tokenization	UPOS	Head	Deprel
1	Oproti	ADP	9	case
2	přidrzlé	ADJ	9	amod
3	,	PUNCT	7	punct
4	leč	SCONJ	7	cc
5	vesměs	ADV	6	advmod
6	nápaditě	ADV	7	advmod
7	stylizované	ADJ	2	conj
8	pubertální	ADJ	9	amod
9	recesi	NOUN	24	obl
10	teenagerů	NOUN	9	nmod
11	odkojených	ADJ	10	amod
12	klipovou	ADJ	15	amod
13	a	CCONJ	14	cc
14	reklamní	ADJ	12	conj
15	kulturou	NOUN	11	obl:arg
16	MTV	PROPN	15	nmod
17	,	PUNCT	19	punct
18	které	DET	19	obl:arg
19	nechyběl	VERB	15	acl:relcl
20	potřebný	ADJ	22	amod
21	sebeironický	ADJ	22	amod
22	nadhled	NOUN	19	nsubj
23	,	PUNCT	19	punct
24	budí	VERB	0	root
25	dvojka	NOUN	24	nsubj
26	zdání	NOUN	24	obj
27	,	PUNCT	31	punct
28	že	SCONJ	31	mark
29	její	DET	30	det
30	tvůrci	NOUN	31	nsubj
31	vařili	VERB	26	acl
32	z	ADP	35	case
33	hodně	ADV	34	advmod
34	nastavované	ADJ	35	amod
35	kaše	NOUN	31	obl:arg
36	.	PUNCT	24	punct