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 tokenized text:
Od nich především se totiž bude veřejnost o návykových látkách dozvídat, protože právě oni si budou moci nakoupit nejvíce času a prostoru v médiích.
Postion	Tokenization
1	Od
2	nich
3	především
4	se
5	totiž
6	bude
7	veřejnost
8	o
9	návykových
10	látkách
11	dozvídat
12	,
13	protože
14	právě
15	oni
16	si
17	budou
18	moci
19	nakoupit
20	nejvíce
21	času
22	a
23	prostoru
24	v
25	médiích
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Od	ADP	2	case
2	nich	PRON	11	obl:arg
3	především	ADV	2	advmod:emph
4	se	PRON	11	expl:pv
5	totiž	ADV	11	advmod
6	bude	AUX	11	aux
7	veřejnost	NOUN	11	nsubj
8	o	ADP	10	case
9	návykových	ADJ	10	amod
10	látkách	NOUN	11	obl:arg
11	dozvídat	VERB	0	root
12	,	PUNCT	18	punct
13	protože	SCONJ	18	mark
14	právě	ADV	15	advmod:emph
15	oni	PRON	18	nsubj
16	si	PRON	19	obl
17	budou	AUX	18	aux
18	moci	VERB	11	advcl
19	nakoupit	VERB	18	xcomp
20	nejvíce	ADV	19	obj
21	času	NOUN	20	nmod
22	a	CCONJ	23	cc
23	prostoru	NOUN	21	conj
24	v	ADP	25	case
25	médiích	NOUN	21	nmod
26	.	PUNCT	11	punct