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:
Opinions, conclusions and other information in this message that do not relate to the official business of my firm shall be understood as neither given nor endorsed by it.
Postion	Tokenization
1	Opinions
2	,
3	conclusions
4	and
5	other
6	information
7	in
8	this
9	message
10	that
11	do
12	not
13	relate
14	to
15	the
16	official
17	business
18	of
19	my
20	firm
21	shall
22	be
23	understood
24	as
25	neither
26	given
27	nor
28	endorsed
29	by
30	it
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Opinions	NOUN	23	nsubj:pass
2	,	PUNCT	3	punct
3	conclusions	NOUN	1	conj
4	and	CCONJ	6	cc
5	other	ADJ	6	amod
6	information	NOUN	1	conj
7	in	ADP	9	case
8	this	DET	9	det
9	message	NOUN	1	nmod
10	that	PRON	13	nsubj
11	do	AUX	13	aux
12	not	PART	13	advmod
13	relate	VERB	1	acl:relcl
14	to	ADP	17	case
15	the	DET	17	det
16	official	ADJ	17	amod
17	business	NOUN	13	obl
18	of	ADP	20	case
19	my	PRON	20	nmod:poss
20	firm	NOUN	17	nmod
21	shall	AUX	23	aux
22	be	AUX	23	aux:pass
23	understood	VERB	0	root
24	as	SCONJ	26	mark
25	neither	CCONJ	26	cc:preconj
26	given	VERB	23	advcl
27	nor	CCONJ	28	cc
28	endorsed	VERB	26	conj
29	by	ADP	30	case
30	it	PRON	26	obl
31	.	PUNCT	23	punct