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 just discovered her has a place right near my work ( Color me Phat) If you are looking for a romatic place with the best food and service in the valley Giovanni Ristorante should be your number 1 + 2 choice.
Postion	Tokenization
1	I
2	just
3	discovered
4	her
5	has
6	a
7	place
8	right
9	near
10	my
11	work
12	(
13	Color
14	me
15	Phat
16	)
17	If
18	you
19	are
20	looking
21	for
22	a
23	romatic
24	place
25	with
26	the
27	best
28	food
29	and
30	service
31	in
32	the
33	valley
34	Giovanni
35	Ristorante
36	should
37	be
38	your
39	number
40	1
41	+
42	2
43	choice
44	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	just	ADV	3	advmod
3	discovered	VERB	0	root
4	her	PRON	5	nsubj
5	has	VERB	3	ccomp
6	a	DET	7	det
7	place	NOUN	5	obj
8	right	ADV	11	advmod
9	near	ADP	11	case
10	my	PRON	11	nmod:poss
11	work	NOUN	7	nmod
12	(	PUNCT	13	punct
13	Color	VERB	11	appos
14	me	PRON	13	obj
15	Phat	ADJ	13	xcomp
16	)	PUNCT	13	punct
17	If	SCONJ	20	mark
18	you	PRON	20	nsubj
19	are	AUX	20	aux
20	looking	VERB	43	advcl
21	for	ADP	24	case
22	a	DET	24	det
23	romatic	ADJ	24	amod
24	place	NOUN	20	obl
25	with	ADP	28	case
26	the	DET	28	det
27	best	ADJ	28	amod
28	food	NOUN	24	nmod
29	and	CCONJ	30	cc
30	service	NOUN	28	conj
31	in	ADP	33	case
32	the	DET	33	det
33	valley	NOUN	28	nmod
34	Giovanni	PROPN	43	nsubj
35	Ristorante	PROPN	34	flat
36	should	AUX	43	aux
37	be	AUX	43	cop
38	your	PRON	43	nmod:poss
39	number	NOUN	43	compound
40	1	NUM	39	nummod
41	+	SYM	42	cc
42	2	NUM	40	conj
43	choice	NOUN	3	parataxis
44	.	PUNCT	3	punct