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:
Kori told me she saw you last night at Steak Night and introduced herself since I failed to do so the last time we went.
Postion	Tokenization
1	Kori
2	told
3	me
4	she
5	saw
6	you
7	last
8	night
9	at
10	Steak
11	Night
12	and
13	introduced
14	herself
15	since
16	I
17	failed
18	to
19	do
20	so
21	the
22	last
23	time
24	we
25	went
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Kori	PROPN	2	nsubj
2	told	VERB	0	root
3	me	PRON	2	iobj
4	she	PRON	5	nsubj
5	saw	VERB	2	ccomp
6	you	PRON	5	obj
7	last	ADJ	8	amod
8	night	NOUN	5	obl:tmod
9	at	ADP	11	case
10	Steak	NOUN	11	compound
11	Night	NOUN	5	obl
12	and	CCONJ	13	cc
13	introduced	VERB	5	conj
14	herself	PRON	13	obj
15	since	SCONJ	17	mark
16	I	PRON	17	nsubj
17	failed	VERB	13	advcl
18	to	PART	19	mark
19	do	VERB	17	xcomp
20	so	ADV	19	advmod
21	the	DET	23	det
22	last	ADJ	23	amod
23	time	NOUN	19	obl:tmod
24	we	PRON	25	nsubj
25	went	VERB	23	acl:relcl
26	.	PUNCT	2	punct