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:
This person is not coming to visit you - the whole point of this scam is to gain your trust enough to steal your money and identity
Postion	Tokenization
1	This
2	person
3	is
4	not
5	coming
6	to
7	visit
8	you
9	-
10	the
11	whole
12	point
13	of
14	this
15	scam
16	is
17	to
18	gain
19	your
20	trust
21	enough
22	to
23	steal
24	your
25	money
26	and
27	identity
Position	Tokenization	UPOS	Head	Deprel
1	This	DET	2	det
2	person	NOUN	5	nsubj
3	is	AUX	5	aux
4	not	PART	5	advmod
5	coming	VERB	0	root
6	to	PART	7	mark
7	visit	VERB	5	advcl
8	you	PRON	7	obj
9	-	PUNCT	5	punct
10	the	DET	12	det
11	whole	ADJ	12	amod
12	point	NOUN	16	nsubj
13	of	ADP	15	case
14	this	DET	15	det
15	scam	NOUN	12	nmod
16	is	VERB	5	parataxis
17	to	PART	18	mark
18	gain	VERB	16	ccomp
19	your	PRON	20	nmod:poss
20	trust	NOUN	18	obj
21	enough	ADV	18	advmod
22	to	PART	23	mark
23	steal	VERB	21	advcl
24	your	PRON	25	nmod:poss
25	money	NOUN	23	obj
26	and	CCONJ	27	cc
27	identity	NOUN	25	conj