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:
My wife was TERRIFIED of snakes when we first met, I introduced her to one out my baby corn snakes and she fell in love with it.
Postion	Tokenization
1	My
2	wife
3	was
4	TERRIFIED
5	of
6	snakes
7	when
8	we
9	first
10	met
11	,
12	I
13	introduced
14	her
15	to
16	one
17	out
18	my
19	baby
20	corn
21	snakes
22	and
23	she
24	fell
25	in
26	love
27	with
28	it
29	.
Position	Tokenization	UPOS	Head	Deprel
1	My	PRON	2	nmod:poss
2	wife	NOUN	4	nsubj
3	was	AUX	4	cop
4	TERRIFIED	ADJ	0	root
5	of	ADP	6	case
6	snakes	NOUN	4	obl
7	when	SCONJ	10	mark
8	we	PRON	10	nsubj
9	first	ADV	10	advmod
10	met	VERB	4	advcl
11	,	PUNCT	13	punct
12	I	PRON	13	nsubj
13	introduced	VERB	4	conj
14	her	PRON	13	obj
15	to	ADP	16	case
16	one	NUM	13	obl
17	out	ADP	21	case
18	my	PRON	21	nmod:poss
19	baby	NOUN	21	compound
20	corn	NOUN	21	compound
21	snakes	NOUN	16	nmod
22	and	CCONJ	24	cc
23	she	PRON	24	nsubj
24	fell	VERB	4	conj
25	in	ADP	26	case
26	love	NOUN	24	obl
27	with	ADP	28	case
28	it	PRON	24	obl
29	.	PUNCT	4	punct