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 text: Rakouská firma Agrana, kotovaná na vídeňské burze cenných papírů, zvýšila díky vítězství v konkursu svůj podíl na největším českém cukrovaru v Hrušovanech nad Jevišovkou z více než 50 procent na 72 procenta, čímž získala více než dvoutřetinovou většinu.
Position	Tokenization	UPOS	Head	Deprel
1	Rakouská	ADJ	2	amod
2	firma	NOUN	12	nsubj
3	Agrana	PROPN	2	nmod
4	,	PUNCT	5	punct
5	kotovaná	ADJ	2	amod
6	na	ADP	8	case
7	vídeňské	ADJ	8	amod
8	burze	NOUN	5	obl
9	cenných	ADJ	10	amod
10	papírů	NOUN	8	nmod
11	,	PUNCT	5	punct
12	zvýšila	VERB	0	root
13	díky	ADP	14	case
14	vítězství	NOUN	12	obl
15	v	ADP	16	case
16	konkursu	NOUN	14	nmod
17	svůj	DET	18	det
18	podíl	NOUN	12	obj
19	na	ADP	22	case
20	největším	ADJ	22	amod
21	českém	ADJ	22	amod
22	cukrovaru	NOUN	18	nmod
23	v	ADP	24	case
24	Hrušovanech	PROPN	22	nmod
25	nad	ADP	26	case
26	Jevišovkou	PROPN	24	nmod
27	z	ADP	28	case
28	více	ADV	12	advmod
29	než	SCONJ	30	mark
30	50	NUM	28	obl
31	procent	NOUN	28	nmod
32	na	ADP	33	case
33	72	NUM	12	obl
34	procenta	NOUN	33	nmod
35	,	PUNCT	37	punct
36	čímž	PRON	37	obl
37	získala	VERB	12	conj
38	více	ADV	37	obj
39	než	SCONJ	41	mark
40	dvoutřetinovou	ADJ	41	amod
41	většinu	NOUN	38	obl
42	.	PUNCT	12	punct