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:
Náš čtenář má nyní představu o tom, jak by mohl nakoupit, ale důležitá je i druhá strana mince: Co ho čeká, bude-li chtít prodat?
Postion	Tokenization
1	Náš
2	čtenář
3	má
4	nyní
5	představu
6	o
7	tom
8	,
9	jak
10	by
11	mohl
12	nakoupit
13	,
14	ale
15	důležitá
16	je
17	i
18	druhá
19	strana
20	mince
21	:
22	Co
23	ho
24	čeká
25	,
26	bude
27	-
28	li
29	chtít
30	prodat
31	?
Position	Tokenization	UPOS	Head	Deprel
1	Náš	DET	2	det
2	čtenář	NOUN	3	nsubj
3	má	VERB	0	root
4	nyní	ADV	3	advmod
5	představu	NOUN	3	obj
6	o	ADP	7	case
7	tom	DET	5	det
8	,	PUNCT	11	punct
9	jak	ADV	12	advmod
10	by	AUX	11	aux
11	mohl	VERB	7	acl
12	nakoupit	VERB	11	xcomp
13	,	PUNCT	15	punct
14	ale	CCONJ	15	cc
15	důležitá	ADJ	3	conj
16	je	AUX	15	cop
17	i	CCONJ	19	advmod:emph
18	druhá	ADJ	19	amod
19	strana	NOUN	15	nsubj
20	mince	NOUN	19	nmod
21	:	PUNCT	24	punct
22	Co	PRON	24	nsubj
23	ho	PRON	24	obj
24	čeká	VERB	19	appos
25	,	PUNCT	29	punct
26	bude	AUX	29	aux
27	-	PUNCT	29	punct
28	li	PART	29	mark
29	chtít	VERB	24	advcl
30	prodat	VERB	29	xcomp
31	?	PUNCT	3	punct