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:
Velké náklady na reklamu (80 miliónů dolarů ročně) se zřejmě vyplácejí - v loňském roce čistý zisk Benettonu vzrostl o 23.6 procenta a dosáhl 164.8 miliard lir.
Postion	Tokenization
1	Velké
2	náklady
3	na
4	reklamu
5	(
6	80
7	miliónů
8	dolarů
9	ročně
10	)
11	se
12	zřejmě
13	vyplácejí
14	-
15	v
16	loňském
17	roce
18	čistý
19	zisk
20	Benettonu
21	vzrostl
22	o
23	23.6
24	procenta
25	a
26	dosáhl
27	164.8
28	miliard
29	lir
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Velké	ADJ	2	amod
2	náklady	NOUN	13	nsubj
3	na	ADP	4	case
4	reklamu	NOUN	2	nmod
5	(	PUNCT	6	punct
6	80	NUM	7	nummod:gov
7	miliónů	NOUN	2	appos
8	dolarů	NOUN	7	nmod
9	ročně	ADV	6	advmod
10	)	PUNCT	9	punct
11	se	PRON	13	expl:pv
12	zřejmě	ADV	13	advmod
13	vyplácejí	VERB	0	root
14	-	PUNCT	21	punct
15	v	ADP	17	case
16	loňském	ADJ	17	amod
17	roce	NOUN	21	obl
18	čistý	ADJ	19	amod
19	zisk	NOUN	21	nsubj
20	Benettonu	PROPN	19	nmod
21	vzrostl	VERB	13	conj
22	o	ADP	23	case
23	23.6	NUM	21	obl:arg
24	procenta	NOUN	23	nmod
25	a	CCONJ	26	cc
26	dosáhl	VERB	21	conj
27	164.8	NUM	28	nummod:gov
28	miliard	NOUN	26	obj
29	lir	NOUN	28	nmod
30	.	PUNCT	13	punct