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:
V praxi jsme si ověřili, jak dalece je složité žádat v České spořitelně o úvěr 100 tisíc korun, vyplacených v hotovosti proti zástavě rodinného domu.
Postion	Tokenization
1	V
2	praxi
3	jsme
4	si
5	ověřili
6	,
7	jak
8	dalece
9	je
10	složité
11	žádat
12	v
13	České
14	spořitelně
15	o
16	úvěr
17	100
18	tisíc
19	korun
20	,
21	vyplacených
22	v
23	hotovosti
24	proti
25	zástavě
26	rodinného
27	domu
28	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	praxi	NOUN	5	obl
3	jsme	AUX	5	aux
4	si	PRON	5	obl
5	ověřili	VERB	0	root
6	,	PUNCT	10	punct
7	jak	ADV	8	advmod
8	dalece	ADV	10	advmod
9	je	AUX	10	cop
10	složité	ADJ	5	ccomp
11	žádat	VERB	10	csubj
12	v	ADP	14	case
13	České	ADJ	14	amod
14	spořitelně	NOUN	11	obl
15	o	ADP	16	case
16	úvěr	NOUN	11	obl:arg
17	100	NUM	19	nummod:gov
18	tisíc	NUM	19	nummod:gov
19	korun	NOUN	16	nmod
20	,	PUNCT	21	punct
21	vyplacených	ADJ	19	amod
22	v	ADP	23	case
23	hotovosti	NOUN	21	obl
24	proti	ADP	25	case
25	zástavě	NOUN	21	obl
26	rodinného	ADJ	27	amod
27	domu	NOUN	25	nmod
28	.	PUNCT	5	punct