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:
I will never return there again (and now have some serious doubts about the quality of work they actually performed on my car).
Postion	Tokenization
1	I
2	will
3	never
4	return
5	there
6	again
7	(
8	and
9	now
10	have
11	some
12	serious
13	doubts
14	about
15	the
16	quality
17	of
18	work
19	they
20	actually
21	performed
22	on
23	my
24	car
25	)
26	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	will	AUX	4	aux
3	never	ADV	4	advmod
4	return	VERB	0	root
5	there	ADV	4	advmod
6	again	ADV	4	advmod
7	(	PUNCT	4	punct
8	and	CCONJ	10	cc
9	now	ADV	10	advmod
10	have	VERB	4	conj
11	some	DET	13	det
12	serious	ADJ	13	amod
13	doubts	NOUN	10	obj
14	about	ADP	16	case
15	the	DET	16	det
16	quality	NOUN	13	nmod
17	of	ADP	18	case
18	work	NOUN	16	nmod
19	they	PRON	21	nsubj
20	actually	ADV	21	advmod
21	performed	VERB	18	acl:relcl
22	on	ADP	24	case
23	my	PRON	24	nmod:poss
24	car	NOUN	21	obl
25	)	PUNCT	4	punct
26	.	PUNCT	4	punct