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 sister in law told me about this amazing new crepe place in town, I was so excited I just wanted to go and test it out for my self!
Postion	Tokenization
1	My
2	sister
3	in
4	law
5	told
6	me
7	about
8	this
9	amazing
10	new
11	crepe
12	place
13	in
14	town
15	,
16	I
17	was
18	so
19	excited
20	I
21	just
22	wanted
23	to
24	go
25	and
26	test
27	it
28	out
29	for
30	my
31	self
32	!
Position	Tokenization	UPOS	Head	Deprel
1	My	PRON	2	nmod:poss
2	sister	NOUN	5	nsubj
3	in	ADP	4	case
4	law	NOUN	2	nmod
5	told	VERB	0	root
6	me	PRON	5	obj
7	about	ADP	12	case
8	this	DET	12	det
9	amazing	ADJ	12	amod
10	new	ADJ	12	amod
11	crepe	NOUN	12	compound
12	place	NOUN	5	obl
13	in	ADP	14	case
14	town	NOUN	12	nmod
15	,	PUNCT	5	punct
16	I	PRON	19	nsubj
17	was	AUX	19	cop
18	so	ADV	19	advmod
19	excited	ADJ	5	parataxis
20	I	PRON	22	nsubj
21	just	ADV	22	advmod
22	wanted	VERB	19	advcl
23	to	PART	24	mark
24	go	VERB	22	xcomp
25	and	CCONJ	26	cc
26	test	VERB	24	conj
27	it	PRON	26	obj
28	out	ADP	26	compound:prt
29	for	ADP	30	case
30	my	X	26	obl
31	self	PRON	30	goeswith
32	!	PUNCT	5	punct