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:
Bylo to velmi důležité, jinak bych možná už nikdy do kokpitu nevlezl," vysvětlil Berger, proč po tragédii sedl hned za volant.
Postion	Tokenization
1	Bylo
2	to
3	velmi
4	důležité
5	,
6	jinak
7	bych
8	možná
9	už
10	nikdy
11	do
12	kokpitu
13	nevlezl
14	,
15	"
16	vysvětlil
17	Berger
18	,
19	proč
20	po
21	tragédii
22	sedl
23	hned
24	za
25	volant
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Bylo	AUX	4	cop
2	to	DET	4	nsubj
3	velmi	ADV	4	advmod
4	důležité	ADJ	16	ccomp
5	,	PUNCT	13	punct
6	jinak	ADV	13	advmod
7	bych	AUX	13	aux
8	možná	ADV	13	advmod
9	už	ADV	10	advmod:emph
10	nikdy	ADV	13	advmod
11	do	ADP	12	case
12	kokpitu	NOUN	13	obl
13	nevlezl	VERB	4	conj
14	,	PUNCT	4	punct
15	"	PUNCT	4	punct
16	vysvětlil	VERB	0	root
17	Berger	PROPN	16	nsubj
18	,	PUNCT	22	punct
19	proč	ADV	22	advmod
20	po	ADP	21	case
21	tragédii	NOUN	22	obl
22	sedl	VERB	16	ccomp
23	hned	ADV	22	advmod
24	za	ADP	25	case
25	volant	NOUN	22	obl
26	.	PUNCT	16	punct