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:
Okay, FIRST, you have posted a question about an American movie, set in Mexico, in the Dining Out in Argentina category.
Postion	Tokenization
1	Okay
2	,
3	FIRST
4	,
5	you
6	have
7	posted
8	a
9	question
10	about
11	an
12	American
13	movie
14	,
15	set
16	in
17	Mexico
18	,
19	in
20	the
21	Dining
22	Out
23	in
24	Argentina
25	category
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Okay	INTJ	7	discourse
2	,	PUNCT	7	punct
3	FIRST	ADV	7	advmod
4	,	PUNCT	7	punct
5	you	PRON	7	nsubj
6	have	AUX	7	aux
7	posted	VERB	0	root
8	a	DET	9	det
9	question	NOUN	7	obj
10	about	ADP	13	case
11	an	DET	13	det
12	American	ADJ	13	amod
13	movie	NOUN	9	nmod
14	,	PUNCT	13	punct
15	set	VERB	13	acl
16	in	ADP	17	case
17	Mexico	PROPN	15	obl
18	,	PUNCT	7	punct
19	in	ADP	25	case
20	the	DET	25	det
21	Dining	VERB	25	compound
22	Out	ADV	21	advmod
23	in	ADP	24	case
24	Argentina	PROPN	21	obl
25	category	NOUN	7	obl
26	.	PUNCT	7	punct