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:
Nejvíce nehod je v Hanoji a v Ho Či Minově Městě, kde jezdí více než polovina z odhadovaných dvou milionů registrovaných motorových kol.
Postion	Tokenization
1	Nejvíce
2	nehod
3	je
4	v
5	Hanoji
6	a
7	v
8	Ho
9	Či
10	Minově
11	Městě
12	,
13	kde
14	jezdí
15	více
16	než
17	polovina
18	z
19	odhadovaných
20	dvou
21	milionů
22	registrovaných
23	motorových
24	kol
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Nejvíce	ADV	3	nsubj
2	nehod	NOUN	1	nmod
3	je	VERB	0	root
4	v	ADP	5	case
5	Hanoji	PROPN	3	obl
6	a	CCONJ	11	cc
7	v	ADP	11	case
8	Ho	PROPN	11	nmod
9	Či	PROPN	11	nmod
10	Minově	ADJ	11	amod
11	Městě	PROPN	5	conj
12	,	PUNCT	14	punct
13	kde	ADV	14	advmod
14	jezdí	VERB	11	acl:relcl
15	více	ADV	14	nsubj
16	než	SCONJ	17	mark
17	polovina	NOUN	15	obl
18	z	ADP	21	case
19	odhadovaných	ADJ	21	amod
20	dvou	NUM	21	nummod
21	milionů	NOUN	17	nmod
22	registrovaných	ADJ	24	amod
23	motorových	ADJ	24	amod
24	kol	NOUN	15	nmod
25	.	PUNCT	3	punct