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:
So huge in fact, that Toronto slang is influenced by and has Jamaican references, and Jamaican beef patties are staples in my high school cafeteria.
Postion	Tokenization
1	So
2	huge
3	in
4	fact
5	,
6	that
7	Toronto
8	slang
9	is
10	influenced
11	by
12	and
13	has
14	Jamaican
15	references
16	,
17	and
18	Jamaican
19	beef
20	patties
21	are
22	staples
23	in
24	my
25	high
26	school
27	cafeteria
28	.
Position	Tokenization	UPOS	Head	Deprel
1	So	ADV	2	advmod
2	huge	ADJ	0	root
3	in	ADP	4	case
4	fact	NOUN	2	obl
5	,	PUNCT	4	punct
6	that	SCONJ	10	mark
7	Toronto	PROPN	8	compound
8	slang	NOUN	10	nsubj:pass
9	is	AUX	10	aux:pass
10	influenced	VERB	2	ccomp
11	by	ADP	15	case
12	and	CCONJ	13	cc
13	has	VERB	10	conj
14	Jamaican	ADJ	15	amod
15	references	NOUN	10	obl
16	,	PUNCT	22	punct
17	and	CCONJ	22	cc
18	Jamaican	ADJ	20	amod
19	beef	NOUN	20	compound
20	patties	NOUN	22	nsubj
21	are	AUX	22	cop
22	staples	NOUN	2	conj
23	in	ADP	27	case
24	my	PRON	27	nmod:poss
25	high	ADJ	26	amod
26	school	NOUN	27	compound
27	cafeteria	NOUN	22	obl
28	.	PUNCT	2	punct