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: Děti, především ze základních škol ve velkých městech, zcela nezištně a podle své nejbujnější fantazie vymýšlejí reklamní spoty na absurdní páradla, která rozpárají absolutně vše, nebo na dupidla - útočné spreje pro lupiče, či na nervovátka, která každému zaručí zaručeně nervní sny.
Position	Tokenization	UPOS	Head	Deprel
1	Děti	NOUN	18	nsubj
2	,	PUNCT	6	punct
3	především	ADV	6	advmod:emph
4	ze	ADP	6	case
5	základních	ADJ	6	amod
6	škol	NOUN	1	nmod
7	ve	ADP	9	case
8	velkých	ADJ	9	amod
9	městech	NOUN	6	nmod
10	,	PUNCT	6	punct
11	zcela	ADV	12	advmod
12	nezištně	ADV	18	advmod
13	a	CCONJ	17	cc
14	podle	ADP	17	case
15	své	DET	17	det
16	nejbujnější	ADJ	17	amod
17	fantazie	NOUN	12	conj
18	vymýšlejí	VERB	0	root
19	reklamní	ADJ	20	amod
20	spoty	NOUN	18	obj
21	na	ADP	23	case
22	absurdní	ADJ	23	amod
23	páradla	NOUN	20	nmod
24	,	PUNCT	26	punct
25	která	DET	26	nsubj
26	rozpárají	VERB	23	acl:relcl
27	absolutně	ADV	28	advmod
28	vše	DET	26	obl
29	,	PUNCT	26	punct
30	nebo	CCONJ	23	cc
31	na	ADP	32	case
32	dupidla	NOUN	23	nmod
33	-	PUNCT	35	punct
34	útočné	ADJ	35	amod
35	spreje	NOUN	32	appos
36	pro	ADP	37	case
37	lupiče	NOUN	35	nmod
38	,	PUNCT	41	punct
39	či	CCONJ	41	cc
40	na	ADP	41	case
41	nervovátka	NOUN	23	conj
42	,	PUNCT	45	punct
43	která	DET	45	nsubj
44	každému	DET	45	obl:arg
45	zaručí	VERB	41	acl:relcl
46	zaručeně	ADV	47	advmod
47	nervní	ADJ	48	amod
48	sny	NOUN	45	obj
49	.	PUNCT	18	punct