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:
Will businesses that were new in 2005 have become a household name due to their efforts in rebuilding the gulf coast?
Postion	Tokenization
1	Will
2	businesses
3	that
4	were
5	new
6	in
7	2005
8	have
9	become
10	a
11	household
12	name
13	due
14	to
15	their
16	efforts
17	in
18	rebuilding
19	the
20	gulf
21	coast
22	?
Position	Tokenization	UPOS	Head	Deprel
1	Will	AUX	9	aux
2	businesses	NOUN	9	nsubj
3	that	PRON	5	nsubj
4	were	AUX	5	cop
5	new	ADJ	2	acl:relcl
6	in	ADP	7	case
7	2005	NUM	5	obl
8	have	AUX	9	aux
9	become	VERB	0	root
10	a	DET	12	det
11	household	NOUN	12	compound
12	name	NOUN	9	xcomp
13	due	ADP	16	case
14	to	ADP	13	fixed
15	their	PRON	16	nmod:poss
16	efforts	NOUN	12	nmod
17	in	SCONJ	18	mark
18	rebuilding	VERB	16	acl
19	the	DET	21	det
20	gulf	NOUN	21	compound
21	coast	NOUN	18	obj
22	?	PUNCT	12	punct