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:
Not only were my wife and I very pleased, but I also had the air duct quality tested professionally by the home inspector that I regularly use, before and after United Air Duct performed their work.
Postion	Tokenization
1	Not
2	only
3	were
4	my
5	wife
6	and
7	I
8	very
9	pleased
10	,
11	but
12	I
13	also
14	had
15	the
16	air
17	duct
18	quality
19	tested
20	professionally
21	by
22	the
23	home
24	inspector
25	that
26	I
27	regularly
28	use
29	,
30	before
31	and
32	after
33	United
34	Air
35	Duct
36	performed
37	their
38	work
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Not	ADV	2	advmod
2	only	ADV	9	advmod
3	were	AUX	9	cop
4	my	PRON	5	nmod:poss
5	wife	NOUN	9	nsubj
6	and	CCONJ	7	cc
7	I	PRON	5	conj
8	very	ADV	9	advmod
9	pleased	ADJ	0	root
10	,	PUNCT	14	punct
11	but	CCONJ	14	cc
12	I	PRON	14	nsubj
13	also	ADV	14	advmod
14	had	VERB	9	conj
15	the	DET	18	det
16	air	NOUN	17	compound
17	duct	NOUN	18	compound
18	quality	NOUN	14	obj
19	tested	VERB	14	xcomp
20	professionally	ADV	19	advmod
21	by	ADP	24	case
22	the	DET	24	det
23	home	NOUN	24	compound
24	inspector	NOUN	19	obl
25	that	PRON	28	obj
26	I	PRON	28	nsubj
27	regularly	ADV	28	advmod
28	use	VERB	24	acl:relcl
29	,	PUNCT	14	punct
30	before	SCONJ	36	mark
31	and	CCONJ	32	cc
32	after	SCONJ	30	conj
33	United	PROPN	35	compound
34	Air	PROPN	35	compound
35	Duct	PROPN	36	nsubj
36	performed	VERB	14	advcl
37	their	PRON	38	nmod:poss
38	work	NOUN	36	obj
39	.	PUNCT	9	punct