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:
Know this well because I remember an 'irish' pub in the town in canada i grew up in used to advertise the cheapest pints of guinness in town, but they served them in american sized pints.
Postion	Tokenization
1	Know
2	this
3	well
4	because
5	I
6	remember
7	an
8	'
9	irish
10	'
11	pub
12	in
13	the
14	town
15	in
16	canada
17	i
18	grew
19	up
20	in
21	used
22	to
23	advertise
24	the
25	cheapest
26	pints
27	of
28	guinness
29	in
30	town
31	,
32	but
33	they
34	served
35	them
36	in
37	american
38	sized
39	pints
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Know	VERB	0	root
2	this	PRON	1	obj
3	well	ADV	1	advmod
4	because	SCONJ	6	mark
5	I	PRON	6	nsubj
6	remember	VERB	1	advcl
7	an	DET	11	det
8	'	PUNCT	11	punct
9	irish	ADJ	11	amod
10	'	PUNCT	11	punct
11	pub	NOUN	21	nsubj
12	in	ADP	14	case
13	the	DET	14	det
14	town	NOUN	11	nmod
15	in	ADP	16	case
16	canada	PROPN	14	nmod
17	i	PRON	18	nsubj
18	grew	VERB	14	acl:relcl
19	up	ADP	18	compound:prt
20	in	ADP	18	obl
21	used	VERB	6	ccomp
22	to	PART	23	mark
23	advertise	VERB	21	xcomp
24	the	DET	26	det
25	cheapest	ADJ	26	amod
26	pints	NOUN	23	obj
27	of	ADP	28	case
28	guinness	PROPN	26	nmod
29	in	ADP	30	case
30	town	NOUN	26	nmod
31	,	PUNCT	34	punct
32	but	CCONJ	34	cc
33	they	PRON	34	nsubj
34	served	VERB	21	conj
35	them	PRON	34	obj
36	in	ADP	39	case
37	american	ADJ	38	amod
38	sized	ADJ	39	amod
39	pints	NOUN	34	obl
40	.	PUNCT	1	punct