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 Martina Švehly však nehrozí, že by causa Kreditní a průmyslové banky mohla mít bezprostřední vliv na stabilitu obdobných malých finančních ústavů.
Postion	Tokenization
1	Podle
2	Martina
3	Švehly
4	však
5	nehrozí
6	,
7	že
8	by
9	causa
10	Kreditní
11	a
12	průmyslové
13	banky
14	mohla
15	mít
16	bezprostřední
17	vliv
18	na
19	stabilitu
20	obdobných
21	malých
22	finančních
23	ústavů
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	Martina	PROPN	5	obl
3	Švehly	PROPN	2	flat
4	však	CCONJ	5	cc
5	nehrozí	VERB	0	root
6	,	PUNCT	14	punct
7	že	SCONJ	14	mark
8	by	AUX	14	aux
9	causa	NOUN	14	nsubj
10	Kreditní	ADJ	13	amod
11	a	CCONJ	12	cc
12	průmyslové	ADJ	10	conj
13	banky	NOUN	9	nmod
14	mohla	VERB	5	csubj
15	mít	VERB	14	xcomp
16	bezprostřední	ADJ	17	amod
17	vliv	NOUN	15	obj
18	na	ADP	19	case
19	stabilitu	NOUN	17	nmod
20	obdobných	ADJ	23	amod
21	malých	ADJ	23	amod
22	finančních	ADJ	23	amod
23	ústavů	NOUN	19	nmod
24	.	PUNCT	5	punct