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:
Stehlík dále popřel informaci, podle níž jeho společnost dluží Energetickému centru v Kladně (ECK) 300 miliónů korun za dodávky tepla, což tisku sdělil ekonomický šéf ECK Jaroslav Ibl.
Postion	Tokenization
1	Stehlík
2	dále
3	popřel
4	informaci
5	,
6	podle
7	níž
8	jeho
9	společnost
10	dluží
11	Energetickému
12	centru
13	v
14	Kladně
15	(
16	ECK
17	)
18	300
19	miliónů
20	korun
21	za
22	dodávky
23	tepla
24	,
25	což
26	tisku
27	sdělil
28	ekonomický
29	šéf
30	ECK
31	Jaroslav
32	Ibl
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Stehlík	NOUN	3	nsubj
2	dále	ADV	3	advmod
3	popřel	VERB	0	root
4	informaci	NOUN	3	obj
5	,	PUNCT	10	punct
6	podle	ADP	7	case
7	níž	PRON	10	obl
8	jeho	DET	9	det
9	společnost	NOUN	10	nsubj
10	dluží	VERB	4	acl:relcl
11	Energetickému	ADJ	12	amod
12	centru	NOUN	10	obl:arg
13	v	ADP	14	case
14	Kladně	PROPN	12	nmod
15	(	PUNCT	16	punct
16	ECK	PROPN	12	appos
17	)	PUNCT	16	punct
18	300	NUM	19	nummod:gov
19	miliónů	NOUN	10	obj
20	korun	NOUN	19	nmod
21	za	ADP	22	case
22	dodávky	NOUN	10	obl:arg
23	tepla	NOUN	22	nmod
24	,	PUNCT	27	punct
25	což	PRON	27	obj
26	tisku	NOUN	27	obl:arg
27	sdělil	VERB	10	conj
28	ekonomický	ADJ	29	amod
29	šéf	NOUN	27	nsubj
30	ECK	PROPN	29	nmod
31	Jaroslav	PROPN	29	flat
32	Ibl	PROPN	29	flat
33	.	PUNCT	3	punct