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 článku jsme odpovídali na dotaz naší pardubické čtenářky, kde by měla uzavřít životní pojištění, aby platila co nejméně a získala co nejvíce.
Postion	Tokenization
1	V
2	článku
3	jsme
4	odpovídali
5	na
6	dotaz
7	naší
8	pardubické
9	čtenářky
10	,
11	kde
12	by
13	měla
14	uzavřít
15	životní
16	pojištění
17	,
18	aby
19	aby
20	by
21	platila
22	co
23	nejméně
24	a
25	získala
26	co
27	nejvíce
28	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	článku	NOUN	4	obl
3	jsme	AUX	4	aux
4	odpovídali	VERB	0	root
5	na	ADP	6	case
6	dotaz	NOUN	4	obl:arg
7	naší	DET	9	det
8	pardubické	ADJ	9	amod
9	čtenářky	NOUN	6	nmod
10	,	PUNCT	13	punct
11	kde	ADV	13	advmod
12	by	AUX	13	aux
13	měla	VERB	6	acl:relcl
14	uzavřít	VERB	13	xcomp
15	životní	ADJ	16	amod
16	pojištění	NOUN	14	obj
17	,	PUNCT	20	punct
18	aby	_	None	_
19	aby	SCONJ	20	mark
20	by	AUX	20	aux
21	platila	VERB	16	acl
22	co	ADV	22	advmod
23	nejméně	ADV	20	advmod
24	a	CCONJ	24	cc
25	získala	VERB	20	conj
26	co	ADV	26	advmod
27	nejvíce	ADV	24	advmod
28	.	PUNCT	4	punct