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:
Anebo si představujete, že cizinci vám budou i nadále s úsměvem nastavovat peněženky jenom proto, že na to mají a že koruna je za dvacet centimů?
Postion	Tokenization
1	Anebo
2	si
3	představujete
4	,
5	že
6	cizinci
7	vám
8	budou
9	i
10	nadále
11	s
12	úsměvem
13	nastavovat
14	peněženky
15	jenom
16	proto
17	,
18	že
19	na
20	to
21	mají
22	a
23	že
24	koruna
25	je
26	za
27	dvacet
28	centimů
29	?
Position	Tokenization	UPOS	Head	Deprel
1	Anebo	CCONJ	3	cc
2	si	PRON	3	expl:pv
3	představujete	VERB	0	root
4	,	PUNCT	13	punct
5	že	SCONJ	13	mark
6	cizinci	NOUN	13	nsubj
7	vám	PRON	13	obl:arg
8	budou	AUX	13	aux
9	i	CCONJ	10	advmod:emph
10	nadále	ADV	13	advmod
11	s	ADP	12	case
12	úsměvem	NOUN	13	obl
13	nastavovat	VERB	3	ccomp
14	peněženky	NOUN	13	obj
15	jenom	PART	16	advmod:emph
16	proto	ADV	13	advmod
17	,	PUNCT	21	punct
18	že	SCONJ	21	mark
19	na	ADP	20	case
20	to	DET	21	obl:arg
21	mají	VERB	13	advcl
22	a	CCONJ	25	cc
23	že	SCONJ	25	mark
24	koruna	NOUN	25	nsubj
25	je	VERB	21	conj
26	za	ADP	28	case
27	dvacet	NUM	28	nummod:gov
28	centimů	NOUN	25	obl
29	?	PUNCT	3	punct