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:
Návštěva byla o to zajímavější, že na letecký průmysl dolehla krize, která v minulých letech postihla v souvislosti s válkou v Perském zálivu mezinárodní leteckou dopravu.
Postion	Tokenization
1	Návštěva
2	byla
3	o
4	to
5	zajímavější
6	,
7	že
8	na
9	letecký
10	průmysl
11	dolehla
12	krize
13	,
14	která
15	v
16	minulých
17	letech
18	postihla
19	v
20	souvislosti
21	s
22	válkou
23	v
24	Perském
25	zálivu
26	mezinárodní
27	leteckou
28	dopravu
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Návštěva	NOUN	5	nsubj
2	byla	AUX	5	cop
3	o	ADP	4	case
4	to	DET	5	obl
5	zajímavější	ADJ	0	root
6	,	PUNCT	11	punct
7	že	SCONJ	11	mark
8	na	ADP	10	case
9	letecký	ADJ	10	amod
10	průmysl	NOUN	11	obl
11	dolehla	VERB	4	acl
12	krize	NOUN	11	nsubj
13	,	PUNCT	18	punct
14	která	DET	18	nsubj
15	v	ADP	17	case
16	minulých	ADJ	17	amod
17	letech	NOUN	18	obl
18	postihla	VERB	12	acl:relcl
19	v	ADP	22	case
20	souvislosti	NOUN	19	fixed
21	s	ADP	19	fixed
22	válkou	NOUN	18	obl
23	v	ADP	25	case
24	Perském	ADJ	25	amod
25	zálivu	NOUN	22	nmod
26	mezinárodní	ADJ	28	amod
27	leteckou	ADJ	28	amod
28	dopravu	NOUN	18	obj
29	.	PUNCT	5	punct