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 have a conference call this afternoon at 3 pm (Houston time) with Antonio Felix de Araujo Cintra from the Tozzini firm regarding further research on derivative products for trading in Brazil.
Postion	Tokenization
1	I
2	have
3	a
4	conference
5	call
6	this
7	afternoon
8	at
9	3
10	pm
11	(
12	Houston
13	time
14	)
15	with
16	Antonio
17	Felix
18	de
19	Araujo
20	Cintra
21	from
22	the
23	Tozzini
24	firm
25	regarding
26	further
27	research
28	on
29	derivative
30	products
31	for
32	trading
33	in
34	Brazil
35	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	have	VERB	0	root
3	a	DET	5	det
4	conference	NOUN	5	compound
5	call	NOUN	2	obj
6	this	DET	7	det
7	afternoon	NOUN	5	nmod:tmod
8	at	ADP	10	case
9	3	NUM	10	nummod
10	pm	NOUN	7	nmod
11	(	PUNCT	13	punct
12	Houston	PROPN	13	compound
13	time	NOUN	10	nmod:npmod
14	)	PUNCT	13	punct
15	with	ADP	16	case
16	Antonio	PROPN	5	nmod
17	Felix	PROPN	16	flat
18	de	PROPN	16	flat
19	Araujo	PROPN	16	flat
20	Cintra	PROPN	16	flat
21	from	ADP	24	case
22	the	DET	24	det
23	Tozzini	PROPN	24	compound
24	firm	NOUN	16	nmod
25	regarding	VERB	27	case
26	further	ADJ	27	amod
27	research	NOUN	5	nmod
28	on	ADP	30	case
29	derivative	ADJ	30	amod
30	products	NOUN	27	nmod
31	for	SCONJ	32	mark
32	trading	VERB	30	acl
33	in	ADP	34	case
34	Brazil	PROPN	32	obl
35	.	PUNCT	2	punct