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:
Z informací LN vyplývá, že nejžhavějším kandidátem na koupi podílu je zatím společnost SBS, která údajně IPB nabídla 12 miliónů dolarů.
Postion	Tokenization
1	Z
2	informací
3	LN
4	vyplývá
5	,
6	že
7	nejžhavějším
8	kandidátem
9	na
10	koupi
11	podílu
12	je
13	zatím
14	společnost
15	SBS
16	,
17	která
18	údajně
19	IPB
20	nabídla
21	12
22	miliónů
23	dolarů
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Z	ADP	2	case
2	informací	NOUN	4	obl:arg
3	LN	PROPN	2	nmod
4	vyplývá	VERB	0	root
5	,	PUNCT	8	punct
6	že	SCONJ	8	mark
7	nejžhavějším	ADJ	8	amod
8	kandidátem	NOUN	4	csubj
9	na	ADP	10	case
10	koupi	NOUN	8	nmod
11	podílu	NOUN	10	nmod
12	je	AUX	8	cop
13	zatím	ADV	8	advmod
14	společnost	NOUN	8	nsubj
15	SBS	PROPN	14	nmod
16	,	PUNCT	20	punct
17	která	DET	20	nsubj
18	údajně	ADV	20	advmod
19	IPB	PROPN	20	obj
20	nabídla	VERB	14	acl:relcl
21	12	NUM	22	nummod:gov
22	miliónů	NOUN	20	obj
23	dolarů	NOUN	22	nmod
24	.	PUNCT	4	punct