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:
Oba jeli podle dosavadních výsledků vyšetřování ve voze Seat Toledo, který se na křižovatce v Orlové-Lutyni 12. února srazil s vozidlem Škoda 120.
Postion	Tokenization
1	Oba
2	jeli
3	podle
4	dosavadních
5	výsledků
6	vyšetřování
7	ve
8	voze
9	Seat
10	Toledo
11	,
12	který
13	se
14	na
15	křižovatce
16	v
17	Orlové
18	-
19	Lutyni
20	12
21	.
22	února
23	srazil
24	s
25	vozidlem
26	Škoda
27	120
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Oba	NUM	2	nsubj
2	jeli	VERB	0	root
3	podle	ADP	5	case
4	dosavadních	ADJ	5	amod
5	výsledků	NOUN	2	obl
6	vyšetřování	NOUN	5	nmod
7	ve	ADP	8	case
8	voze	NOUN	2	obl
9	Seat	PROPN	10	nmod
10	Toledo	PROPN	8	nmod
11	,	PUNCT	23	punct
12	který	DET	23	nsubj
13	se	PRON	23	expl:pv
14	na	ADP	15	case
15	křižovatce	NOUN	23	obl
16	v	ADP	17	case
17	Orlové	PROPN	15	nmod
18	-	PUNCT	19	punct
19	Lutyni	PROPN	17	nmod
20	12	NUM	22	nummod
21	.	PUNCT	20	punct
22	února	NOUN	23	obl
23	srazil	VERB	8	acl:relcl
24	s	ADP	25	case
25	vozidlem	NOUN	23	obl:arg
26	Škoda	PROPN	25	nmod
27	120	NUM	26	nummod
28	.	PUNCT	2	punct