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:
Prominent Builders in New Jersey are one the best building contractors, I was referred to them by my friend, I am so glad I used them for my Home renovation, and addition.
Postion	Tokenization
1	Prominent
2	Builders
3	in
4	New
5	Jersey
6	are
7	one
8	the
9	best
10	building
11	contractors
12	,
13	I
14	was
15	referred
16	to
17	them
18	by
19	my
20	friend
21	,
22	I
23	am
24	so
25	glad
26	I
27	used
28	them
29	for
30	my
31	Home
32	renovation
33	,
34	and
35	addition
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Prominent	ADJ	2	amod
2	Builders	NOUN	7	nsubj
3	in	ADP	5	case
4	New	PROPN	5	compound
5	Jersey	PROPN	2	nmod
6	are	AUX	7	cop
7	one	NUM	0	root
8	the	DET	11	det
9	best	ADJ	11	amod
10	building	NOUN	11	compound
11	contractors	NOUN	7	nmod
12	,	PUNCT	7	punct
13	I	PRON	15	nsubj:pass
14	was	AUX	15	aux:pass
15	referred	VERB	7	parataxis
16	to	ADP	17	case
17	them	PRON	15	obl
18	by	ADP	20	case
19	my	PRON	20	nmod:poss
20	friend	NOUN	15	obl
21	,	PUNCT	7	punct
22	I	PRON	25	nsubj
23	am	AUX	25	cop
24	so	ADV	25	advmod
25	glad	ADJ	7	parataxis
26	I	PRON	27	nsubj
27	used	VERB	25	ccomp
28	them	PRON	27	obj
29	for	ADP	32	case
30	my	PRON	32	nmod:poss
31	Home	NOUN	32	compound
32	renovation	NOUN	27	obl
33	,	PUNCT	35	punct
34	and	CCONJ	35	cc
35	addition	NOUN	32	conj
36	.	PUNCT	7	punct