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: Než totiž malí caparti dorostou, získají sledováním desítek tisíců reklamních šotů takzvané reklamní vzdělání a s ním zdravý skepticismus při posuzování toho, jak, kdy a proč si mají vzít třeba onu zmíněnou "pravou svěžest".
Position	Tokenization	UPOS	Head	Deprel
1	Než	SCONJ	5	mark
2	totiž	ADV	5	advmod
3	malí	ADJ	4	amod
4	caparti	NOUN	5	nsubj
5	dorostou	VERB	7	advcl
6	,	PUNCT	5	punct
7	získají	VERB	0	root
8	sledováním	NOUN	7	obl
9	desítek	NOUN	8	nmod
10	tisíců	NOUN	9	nmod
11	reklamních	ADJ	12	amod
12	šotů	NOUN	10	nmod
13	takzvané	ADJ	15	amod
14	reklamní	ADJ	15	amod
15	vzdělání	NOUN	7	obj
16	_	_	None	_
17	a	CCONJ	18	cc
18	s	ADP	18	case
19	ním	PRON	7	conj
20	zdravý	ADJ	20	amod
21	skepticismus	NOUN	18	orphan
22	při	ADP	22	case
23	posuzování	NOUN	18	orphan
24	toho	DET	22	amod
25	,	PUNCT	31	punct
26	jak	ADV	32	advmod
27	,	PUNCT	27	punct
28	kdy	ADV	25	conj
29	a	CCONJ	29	cc
30	proč	ADV	25	conj
31	si	PRON	32	obl
32	mají	VERB	23	acl
33	vzít	VERB	31	xcomp
34	třeba	ADV	38	advmod:emph
35	onu	DET	38	det
36	zmíněnou	ADJ	38	amod
37	"	PUNCT	38	punct
38	pravou	ADJ	38	amod
39	svěžest	NOUN	32	obj
40	"	PUNCT	38	punct
41	.	PUNCT	7	punct