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:
If you do not wish to receive such e-mails in the future or want to know more about the BBC's Email a Friend service, please read our frequently asked questions.
Postion	Tokenization
1	If
2	you
3	do
4	not
5	wish
6	to
7	receive
8	such
9	e-mails
10	in
11	the
12	future
13	or
14	want
15	to
16	know
17	more
18	about
19	the
20	BBC's
21	BBC
22	's
23	Email
24	a
25	Friend
26	service
27	,
28	please
29	read
30	our
31	frequently
32	asked
33	questions
34	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	5	mark
2	you	PRON	5	nsubj
3	do	AUX	5	aux
4	not	PART	5	advmod
5	wish	VERB	28	advcl
6	to	PART	7	mark
7	receive	VERB	5	xcomp
8	such	ADJ	9	amod
9	e-mails	NOUN	7	obj
10	in	ADP	12	case
11	the	DET	12	det
12	future	NOUN	7	obl
13	or	CCONJ	14	cc
14	want	VERB	5	conj
15	to	PART	16	mark
16	know	VERB	14	xcomp
17	more	ADJ	16	obj
18	about	ADP	25	case
19	the	DET	20	det
20	BBC's	_	None	_
21	BBC	PROPN	25	nmod:poss
22	's	PART	20	case
23	Email	VERB	25	compound
24	a	DET	24	det
25	Friend	NOUN	22	obj
26	service	NOUN	17	obl
27	,	PUNCT	28	punct
28	please	INTJ	28	discourse
29	read	VERB	0	root
30	our	PRON	32	nmod:poss
31	frequently	ADV	31	advmod
32	asked	VERB	32	amod
33	questions	NOUN	28	obj
34	.	PUNCT	28	punct