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:
Zdemolované tmavomodré BMW, v němž se při havárii včera dopoledne těžce zranil Alexander Dubček, bylo z místa nehody převezeno na dálniční oddělení policie v Bernarticích.
Postion	Tokenization
1	Zdemolované
2	tmavomodré
3	BMW
4	,
5	v
6	němž
7	se
8	při
9	havárii
10	včera
11	dopoledne
12	těžce
13	zranil
14	Alexander
15	Dubček
16	,
17	bylo
18	z
19	místa
20	nehody
21	převezeno
22	na
23	dálniční
24	oddělení
25	policie
26	v
27	Bernarticích
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Zdemolované	ADJ	3	amod
2	tmavomodré	ADJ	3	amod
3	BMW	PROPN	21	nsubj:pass
4	,	PUNCT	13	punct
5	v	ADP	6	case
6	němž	PRON	13	obl
7	se	PRON	13	expl:pass
8	při	ADP	9	case
9	havárii	NOUN	13	obl
10	včera	ADV	13	advmod
11	dopoledne	ADV	13	advmod
12	těžce	ADV	13	advmod
13	zranil	VERB	3	acl:relcl
14	Alexander	PROPN	13	nsubj:pass
15	Dubček	PROPN	14	flat
16	,	PUNCT	13	punct
17	bylo	AUX	21	aux:pass
18	z	ADP	19	case
19	místa	NOUN	21	obl
20	nehody	NOUN	19	nmod
21	převezeno	ADJ	0	root
22	na	ADP	24	case
23	dálniční	ADJ	24	amod
24	oddělení	NOUN	21	obl
25	policie	NOUN	24	nmod
26	v	ADP	27	case
27	Bernarticích	PROPN	25	nmod
28	.	PUNCT	21	punct