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:
NOTE: You may want to retain every name and address sent to you, either on a computer or hard copy and keep the notes people send you.
Postion	Tokenization
1	NOTE
2	:
3	You
4	may
5	want
6	to
7	retain
8	every
9	name
10	and
11	address
12	sent
13	to
14	you
15	,
16	either
17	on
18	a
19	computer
20	or
21	hard
22	copy
23	and
24	keep
25	the
26	notes
27	people
28	send
29	you
30	.
Position	Tokenization	UPOS	Head	Deprel
1	NOTE	NOUN	0	root
2	:	PUNCT	1	punct
3	You	PRON	5	nsubj
4	may	AUX	5	appos
5	want	VERB	1	appos
6	to	PART	7	mark
7	retain	VERB	5	xcomp
8	every	DET	9	det
9	name	NOUN	7	obj
10	and	CCONJ	11	cc
11	address	NOUN	9	conj
12	sent	VERB	9	acl
13	to	ADP	14	case
14	you	PRON	12	obl
15	,	PUNCT	7	punct
16	either	CCONJ	19	cc:preconj
17	on	ADP	19	case
18	a	DET	19	det
19	computer	NOUN	7	obl
20	or	CCONJ	22	cc
21	hard	ADJ	22	amod
22	copy	NOUN	19	conj
23	and	CCONJ	24	cc
24	keep	VERB	7	conj
25	the	DET	26	det
26	notes	NOUN	24	obj
27	people	NOUN	28	nsubj
28	send	VERB	26	acl:relcl
29	you	PRON	28	obj
30	.	PUNCT	1	punct