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:
Vezměme za příklad akcie Telecomu a předpokládejme, že na burze budou uvedeny za sto tisíc za kus a v RM-S za deset korun.
Postion	Tokenization
1	Vezměme
2	za
3	příklad
4	akcie
5	Telecomu
6	a
7	předpokládejme
8	,
9	že
10	na
11	burze
12	budou
13	uvedeny
14	za
15	sto
16	tisíc
17	za
18	kus
19	_
20	a
21	v
22	RM
23	-
24	S
25	za
26	deset
27	korun
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Vezměme	VERB	0	root
2	za	ADP	3	case
3	příklad	NOUN	1	obl:arg
4	akcie	NOUN	1	obj
5	Telecomu	PROPN	4	nmod
6	a	CCONJ	7	cc
7	předpokládejme	VERB	1	conj
8	,	PUNCT	13	punct
9	že	SCONJ	13	mark
10	na	ADP	11	case
11	burze	NOUN	13	obl
12	budou	AUX	13	aux:pass
13	uvedeny	ADJ	7	obj
14	za	ADP	15	case
15	sto	NOUN	13	obl
16	tisíc	NUM	15	nummod
17	za	ADP	18	case
18	kus	NOUN	16	nmod
19	_	_	None	_
20	a	CCONJ	23	cc
21	v	ADP	23	case
22	RM	ADJ	23	amod
23	-	PUNCT	21	punct
24	S	PROPN	13	conj
25	za	ADP	26	case
26	deset	NUM	26	nummod:gov
27	korun	NOUN	23	orphan
28	.	PUNCT	1	punct