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:
Uvedl také, že Lotynka získá kapitálového partnera, kterým podle něj bude nejmenovaná největší státní evropská loterijní společnost s ročním obratem 150 miliard korun.
Postion	Tokenization
1	Uvedl
2	také
3	,
4	že
5	Lotynka
6	získá
7	kapitálového
8	partnera
9	,
10	kterým
11	podle
12	něj
13	bude
14	nejmenovaná
15	největší
16	státní
17	evropská
18	loterijní
19	společnost
20	s
21	ročním
22	obratem
23	150
24	miliard
25	korun
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Uvedl	VERB	0	root
2	také	ADV	1	advmod
3	,	PUNCT	6	punct
4	že	SCONJ	6	mark
5	Lotynka	NOUN	6	nsubj
6	získá	VERB	1	ccomp
7	kapitálového	ADJ	8	amod
8	partnera	NOUN	6	obj
9	,	PUNCT	10	punct
10	kterým	DET	8	acl:relcl
11	podle	ADP	12	case
12	něj	PRON	10	obl
13	bude	AUX	10	cop
14	nejmenovaná	ADJ	19	amod
15	největší	ADJ	19	amod
16	státní	ADJ	19	amod
17	evropská	ADJ	19	amod
18	loterijní	ADJ	19	amod
19	společnost	NOUN	10	nsubj
20	s	ADP	22	case
21	ročním	ADJ	22	amod
22	obratem	NOUN	19	nmod
23	150	NUM	24	nummod:gov
24	miliard	NOUN	22	nmod
25	korun	NOUN	24	nmod
26	.	PUNCT	1	punct