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:
Své věřitele, mezi něž patří s 50 miliony korun především stát, hodlá Tesla uspokojit prostředky získanými z prodeje nemovitostí a prodeje akcií svých dceřiných společností, které všechny vykazují zisk.
Postion	Tokenization
1	Své
2	věřitele
3	,
4	mezi
5	něž
6	patří
7	s
8	50
9	miliony
10	korun
11	především
12	stát
13	,
14	hodlá
15	Tesla
16	uspokojit
17	prostředky
18	získanými
19	z
20	prodeje
21	nemovitostí
22	a
23	prodeje
24	akcií
25	svých
26	dceřiných
27	společností
28	,
29	které
30	všechny
31	vykazují
32	zisk
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Své	DET	2	det
2	věřitele	NOUN	16	obj
3	,	PUNCT	6	punct
4	mezi	ADP	5	case
5	něž	PRON	6	obl
6	patří	VERB	2	acl:relcl
7	s	ADP	9	case
8	50	NUM	9	nummod
9	miliony	NOUN	6	obl
10	korun	NOUN	9	nmod
11	především	ADV	12	advmod:emph
12	stát	NOUN	6	nsubj
13	,	PUNCT	6	punct
14	hodlá	VERB	0	root
15	Tesla	PROPN	14	nsubj
16	uspokojit	VERB	14	xcomp
17	prostředky	NOUN	16	obl
18	získanými	ADJ	17	amod
19	z	ADP	20	case
20	prodeje	NOUN	18	obl
21	nemovitostí	NOUN	20	nmod
22	a	CCONJ	23	cc
23	prodeje	NOUN	20	conj
24	akcií	NOUN	23	nmod
25	svých	DET	27	det
26	dceřiných	ADJ	27	amod
27	společností	NOUN	24	nmod
28	,	PUNCT	31	punct
29	které	DET	31	nsubj
30	všechny	DET	29	xcomp
31	vykazují	VERB	27	acl:relcl
32	zisk	NOUN	31	obj
33	.	PUNCT	14	punct