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:
He's pretty much an "I love American Food, good drinks on occasion, laid back." kind of guy. ;)
Postion	Tokenization
1	He's
2	He
3	's
4	pretty
5	much
6	an
7	"
8	I
9	love
10	American
11	Food
12	,
13	good
14	drinks
15	on
16	occasion
17	,
18	laid
19	back
20	.
21	"
22	kind
23	of
24	guy
25	.
26	;)
Position	Tokenization	UPOS	Head	Deprel
1	He's	_	None	_
2	He	PRON	21	nsubj
3	's	AUX	21	cop
4	pretty	ADV	4	advmod
5	much	ADV	21	advmod
6	an	DET	21	det
7	"	PUNCT	8	punct
8	I	PRON	8	nsubj
9	love	VERB	21	acl
10	American	ADJ	10	amod
11	Food	PROPN	8	obj
12	,	PUNCT	13	punct
13	good	ADJ	13	amod
14	drinks	NOUN	10	conj
15	on	ADP	15	case
16	occasion	NOUN	13	nmod
17	,	PUNCT	17	punct
18	laid	ADJ	21	amod
19	back	ADJ	17	advmod
20	.	PUNCT	21	punct
21	"	PUNCT	21	punct
22	kind	NOUN	0	root
23	of	ADP	23	case
24	guy	NOUN	21	nmod
25	.	PUNCT	21	punct
26	;)	SYM	21	discourse