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:
Na otázku LN, proč se na telefonizaci Bruntálska nemohou podílet soukromé firmy, odpověděl, že Telecom do oblasti již investoval velké finanční prostředky.
Postion	Tokenization
1	Na
2	otázku
3	LN
4	,
5	proč
6	se
7	na
8	telefonizaci
9	Bruntálska
10	nemohou
11	podílet
12	soukromé
13	firmy
14	,
15	odpověděl
16	,
17	že
18	Telecom
19	do
20	oblasti
21	již
22	investoval
23	velké
24	finanční
25	prostředky
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	otázku	NOUN	15	obl:arg
3	LN	PROPN	2	nmod
4	,	PUNCT	10	punct
5	proč	ADV	11	advmod
6	se	PRON	11	expl:pv
7	na	ADP	8	case
8	telefonizaci	NOUN	11	obl:arg
9	Bruntálska	PROPN	8	nmod
10	nemohou	VERB	2	acl
11	podílet	VERB	10	xcomp
12	soukromé	ADJ	13	amod
13	firmy	NOUN	10	nsubj
14	,	PUNCT	10	punct
15	odpověděl	VERB	0	root
16	,	PUNCT	22	punct
17	že	SCONJ	22	mark
18	Telecom	PROPN	22	nsubj
19	do	ADP	20	case
20	oblasti	NOUN	22	obl
21	již	ADV	22	advmod
22	investoval	VERB	15	ccomp
23	velké	ADJ	25	amod
24	finanční	ADJ	25	amod
25	prostředky	NOUN	22	obj
26	.	PUNCT	15	punct