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:
Podle Češky je zdůvodněna tak, že hovořil o dluhu ve výši 308 milionů korun vůči fondu jako o Čekanově závazku a nikoliv jako o dluhu firmy Intercom, společnosti s ručením omezeným.
Postion	Tokenization
1	Podle
2	Češky
3	je
4	zdůvodněna
5	tak
6	,
7	že
8	hovořil
9	o
10	dluhu
11	ve
12	výši
13	308
14	milionů
15	korun
16	vůči
17	fondu
18	jako
19	o
20	Čekanově
21	závazku
22	a
23	nikoliv
24	jako
25	o
26	dluhu
27	firmy
28	Intercom
29	,
30	společnosti
31	s
32	ručením
33	omezeným
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	Češky	PROPN	4	obl
3	je	AUX	4	cop
4	zdůvodněna	ADJ	0	root
5	tak	ADV	4	advmod
6	,	PUNCT	8	punct
7	že	SCONJ	8	mark
8	hovořil	VERB	4	advcl
9	o	ADP	10	case
10	dluhu	NOUN	8	obl:arg
11	ve	ADP	12	case
12	výši	NOUN	10	nmod
13	308	NUM	14	nummod:gov
14	milionů	NOUN	12	nmod
15	korun	NOUN	14	nmod
16	vůči	ADP	17	case
17	fondu	NOUN	10	nmod
18	jako	SCONJ	21	mark
19	o	ADP	21	case
20	Čekanově	ADJ	21	amod
21	závazku	NOUN	10	xcomp
22	a	CCONJ	26	cc
23	nikoliv	ADV	26	advmod:emph
24	jako	SCONJ	26	mark
25	o	ADP	26	case
26	dluhu	NOUN	21	conj
27	firmy	NOUN	26	nmod
28	Intercom	PROPN	27	nmod
29	,	PUNCT	30	punct
30	společnosti	NOUN	27	appos
31	s	ADP	32	case
32	ručením	NOUN	30	nmod
33	omezeným	ADJ	32	amod
34	.	PUNCT	4	punct