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:
Jádro problému "bankroty, anebo nikoliv" je totiž z pohledu bank viděno naprosto odlišně, než z pohledu politiků, národohospodářů či laické veřejnosti:
Postion	Tokenization
1	Jádro
2	problému
3	"
4	bankroty
5	,
6	anebo
7	nikoliv
8	"
9	je
10	totiž
11	z
12	pohledu
13	bank
14	viděno
15	naprosto
16	odlišně
17	,
18	než
19	z
20	pohledu
21	politiků
22	,
23	národohospodářů
24	či
25	laické
26	veřejnosti
27	:
Position	Tokenization	UPOS	Head	Deprel
1	Jádro	NOUN	14	nsubj
2	problému	NOUN	1	nmod
3	"	PUNCT	4	punct
4	bankroty	NOUN	2	nmod
5	,	PUNCT	7	punct
6	anebo	CCONJ	7	cc
7	nikoliv	ADV	4	conj
8	"	PUNCT	4	punct
9	je	AUX	14	cop
10	totiž	ADV	14	advmod
11	z	ADP	12	case
12	pohledu	NOUN	14	obl
13	bank	NOUN	12	nmod
14	viděno	ADJ	0	root
15	naprosto	ADV	16	advmod
16	odlišně	ADV	14	advmod
17	,	PUNCT	20	punct
18	než	SCONJ	20	mark
19	z	ADP	20	case
20	pohledu	NOUN	16	dep
21	politiků	NOUN	20	nmod
22	,	PUNCT	23	punct
23	národohospodářů	NOUN	21	conj
24	či	CCONJ	26	cc
25	laické	ADJ	26	amod
26	veřejnosti	NOUN	21	conj
27	:	PUNCT	14	punct