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:
K závažné dopravní nehodě, při které tři lidé zahynuli a jeden byl těžce zraněn, došlo ve středu na dálnici poblíž obce Koberovice na Pelhřimovsku.
Postion	Tokenization
1	K
2	závažné
3	dopravní
4	nehodě
5	,
6	při
7	které
8	tři
9	lidé
10	zahynuli
11	a
12	jeden
13	byl
14	těžce
15	zraněn
16	,
17	došlo
18	ve
19	středu
20	na
21	dálnici
22	poblíž
23	obce
24	Koberovice
25	na
26	Pelhřimovsku
27	.
Position	Tokenization	UPOS	Head	Deprel
1	K	ADP	4	case
2	závažné	ADJ	4	amod
3	dopravní	ADJ	4	amod
4	nehodě	NOUN	17	obl:arg
5	,	PUNCT	10	punct
6	při	ADP	7	case
7	které	DET	10	obl
8	tři	NUM	9	nummod
9	lidé	NOUN	10	nsubj
10	zahynuli	VERB	4	acl:relcl
11	a	CCONJ	15	cc
12	jeden	NUM	15	nsubj:pass
13	byl	AUX	15	aux:pass
14	těžce	ADV	15	advmod
15	zraněn	ADJ	10	conj
16	,	PUNCT	10	punct
17	došlo	VERB	0	root
18	ve	ADP	19	case
19	středu	NOUN	17	obl
20	na	ADP	21	case
21	dálnici	NOUN	17	obl
22	poblíž	ADP	23	case
23	obce	NOUN	17	obl
24	Koberovice	PROPN	23	nmod
25	na	ADP	26	case
26	Pelhřimovsku	PROPN	24	nmod
27	.	PUNCT	17	punct