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:
Za absurdní obchodní válku mezi Sazkou a Českou lotynkou, která ve svých důsledcích snižuje zisky jak pro sport, tak kulturu jsou odpovědni konkrétní úředníci ministerstva financí, kteří v rozporu se zákonem tento stav připustili.
Postion	Tokenization
1	Za
2	absurdní
3	obchodní
4	válku
5	mezi
6	Sazkou
7	a
8	Českou
9	lotynkou
10	,
11	která
12	ve
13	svých
14	důsledcích
15	snižuje
16	zisky
17	jak
18	pro
19	sport
20	,
21	tak
22	kulturu
23	jsou
24	odpovědni
25	konkrétní
26	úředníci
27	ministerstva
28	financí
29	,
30	kteří
31	v
32	rozporu
33	se
34	zákonem
35	tento
36	stav
37	připustili
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Za	ADP	4	case
2	absurdní	ADJ	4	amod
3	obchodní	ADJ	4	amod
4	válku	NOUN	24	obl:arg
5	mezi	ADP	6	case
6	Sazkou	NOUN	4	nmod
7	a	CCONJ	9	cc
8	Českou	ADJ	9	amod
9	lotynkou	NOUN	6	conj
10	,	PUNCT	15	punct
11	která	DET	15	nsubj
12	ve	ADP	14	case
13	svých	DET	14	det
14	důsledcích	NOUN	15	obl
15	snižuje	VERB	4	acl:relcl
16	zisky	NOUN	15	obj
17	jak	ADV	19	cc
18	pro	ADP	19	case
19	sport	NOUN	16	nmod
20	,	PUNCT	22	punct
21	tak	ADV	22	cc
22	kulturu	NOUN	19	conj
23	jsou	AUX	24	cop
24	odpovědni	ADJ	0	root
25	konkrétní	ADJ	26	amod
26	úředníci	NOUN	24	nsubj
27	ministerstva	NOUN	26	nmod
28	financí	NOUN	27	nmod
29	,	PUNCT	37	punct
30	kteří	DET	37	nsubj
31	v	ADP	34	case
32	rozporu	NOUN	31	fixed
33	se	ADP	31	fixed
34	zákonem	NOUN	37	obl
35	tento	DET	36	det
36	stav	NOUN	37	obj
37	připustili	VERB	26	acl:relcl
38	.	PUNCT	24	punct