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:
He gives the phone to a girl, she says, I have to have your address, I say, do you deliver to 17th and locust, she says, your exact address, I say 1-7-0-1 Locust, ARe you sure? she asks?
Postion	Tokenization
1	He
2	gives
3	the
4	phone
5	to
6	a
7	girl
8	,
9	she
10	says
11	,
12	I
13	have
14	to
15	have
16	your
17	address
18	,
19	I
20	say
21	,
22	do
23	you
24	deliver
25	to
26	17th
27	and
28	locust
29	,
30	she
31	says
32	,
33	your
34	exact
35	address
36	,
37	I
38	say
39	1
40	-
41	7
42	-
43	0
44	-
45	1
46	Locust
47	,
48	ARe
49	you
50	sure
51	?
52	she
53	asks
54	?
Position	Tokenization	UPOS	Head	Deprel
1	He	PRON	2	nsubj
2	gives	VERB	0	root
3	the	DET	4	det
4	phone	NOUN	2	obj
5	to	ADP	7	case
6	a	DET	7	det
7	girl	NOUN	2	obl
8	,	PUNCT	2	punct
9	she	PRON	10	nsubj
10	says	VERB	2	parataxis
11	,	PUNCT	10	punct
12	I	PRON	13	nsubj
13	have	VERB	10	ccomp
14	to	PART	15	mark
15	have	VERB	13	xcomp
16	your	PRON	17	nmod:poss
17	address	NOUN	15	obj
18	,	PUNCT	2	punct
19	I	PRON	20	nsubj
20	say	VERB	2	parataxis
21	,	PUNCT	20	punct
22	do	AUX	24	aux
23	you	PRON	24	nsubj
24	deliver	VERB	20	ccomp
25	to	ADP	26	case
26	17th	PROPN	24	obl
27	and	CCONJ	28	cc
28	locust	PROPN	26	conj
29	,	PUNCT	2	punct
30	she	PRON	31	nsubj
31	says	VERB	2	parataxis
32	,	PUNCT	31	punct
33	your	PRON	35	nmod:poss
34	exact	ADJ	35	amod
35	address	NOUN	31	obj
36	,	PUNCT	2	punct
37	I	PRON	38	nsubj
38	say	VERB	2	parataxis
39	1	NUM	46	nummod
40	-	PUNCT	46	punct
41	7	NUM	46	nummod
42	-	PUNCT	46	punct
43	0	NUM	46	nummod
44	-	PUNCT	46	punct
45	1	NUM	46	nummod
46	Locust	PROPN	38	obj
47	,	PUNCT	2	punct
48	ARe	AUX	50	cop
49	you	PRON	50	nsubj
50	sure	ADJ	53	ccomp
51	?	PUNCT	50	punct
52	she	PRON	53	nsubj
53	asks	VERB	2	parataxis
54	?	PUNCT	2	punct