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:
Now my cars gears and brakes have never run so well... ever its like driving a new car.
Postion	Tokenization
1	Now
2	my
3	cars
4	car
5	s
6	gears
7	and
8	brakes
9	have
10	never
11	run
12	so
13	well
14	...
15	ever
16	its
17	it
18	s
19	like
20	driving
21	a
22	new
23	car
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Now	ADV	10	advmod
2	my	PRON	3	nmod:poss
3	cars	_	None	_
4	car	NOUN	5	nmod:poss
5	s	PART	3	case
6	gears	NOUN	10	nsubj
7	and	CCONJ	7	cc
8	brakes	NOUN	5	conj
9	have	AUX	10	aux
10	never	ADV	10	advmod
11	run	VERB	0	root
12	so	ADV	12	advmod
13	well	ADV	10	advmod
14	...	PUNCT	10	punct
15	ever	ADV	10	advmod
16	its	_	None	_
17	it	PRON	16	nsubj
18	s	VERB	10	parataxis
19	like	SCONJ	18	mark
20	driving	VERB	16	advcl
21	a	DET	21	det
22	new	ADJ	21	amod
23	car	NOUN	18	obj
24	.	PUNCT	10	punct