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 text: Izraelský spisovatel Amos Oz, který je v Praze na soukromé návštěvě, poopravil i druhou otázku týkající se Prahy: Kdybych měl říci, že jsem v Praze poprvé, nebylo by to také správné.
Position	Tokenization	UPOS	Head	Deprel
1	Izraelský	ADJ	2	amod
2	spisovatel	NOUN	14	nsubj
3	Amos	PROPN	2	flat
4	Oz	PROPN	2	flat
5	,	PUNCT	7	punct
6	který	DET	7	nsubj
7	je	VERB	2	acl:relcl
8	v	ADP	9	case
9	Praze	PROPN	7	obl
10	na	ADP	12	case
11	soukromé	ADJ	12	amod
12	návštěvě	NOUN	7	obl
13	,	PUNCT	7	punct
14	poopravil	VERB	0	root
15	i	CCONJ	17	advmod:emph
16	druhou	ADJ	17	amod
17	otázku	NOUN	14	obj
18	týkající	ADJ	17	amod
19	se	PRON	18	expl:pv
20	Prahy	PROPN	18	obl:arg
21	:	PUNCT	37	punct
22	Kdybych	_	None	_
23	Když	SCONJ	24	mark
24	bych	AUX	24	aux
25	měl	VERB	37	advcl
26	říci	VERB	24	xcomp
27	,	PUNCT	28	punct
28	že	SCONJ	28	mark
29	jsem	VERB	25	ccomp
30	v	ADP	30	case
31	Praze	PROPN	28	obl
32	poprvé	ADV	28	obl
33	,	PUNCT	24	punct
34	nebylo	AUX	37	cop
35	by	AUX	37	aux
36	to	DET	37	nsubj
37	také	ADV	37	advmod
38	správné	ADJ	14	conj
39	.	PUNCT	14	punct