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:
I am trying to develop similar guidelines for the Southern Cone regions (first Argentina) and thought your expertise would be very helpful.
Postion	Tokenization
1	I
2	am
3	trying
4	to
5	develop
6	similar
7	guidelines
8	for
9	the
10	Southern
11	Cone
12	regions
13	(
14	first
15	Argentina
16	)
17	and
18	thought
19	your
20	expertise
21	would
22	be
23	very
24	helpful
25	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	am	AUX	3	aux
3	trying	VERB	0	root
4	to	PART	5	mark
5	develop	VERB	3	xcomp
6	similar	ADJ	7	amod
7	guidelines	NOUN	5	obj
8	for	ADP	12	case
9	the	DET	12	det
10	Southern	PROPN	11	compound
11	Cone	PROPN	12	compound
12	regions	NOUN	7	nmod
13	(	PUNCT	15	punct
14	first	ADV	15	advmod
15	Argentina	PROPN	12	appos
16	)	PUNCT	15	punct
17	and	CCONJ	18	cc
18	thought	VERB	3	conj
19	your	PRON	20	nmod:poss
20	expertise	NOUN	24	nsubj
21	would	AUX	24	aux
22	be	AUX	24	cop
23	very	ADV	24	advmod
24	helpful	ADJ	18	ccomp
25	.	PUNCT	3	punct