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:
As I read the letter, I considered the vast contrast between mind and morality of whoever wrote it, vs. that of the mind of the man who once said "Bring it on!"
Postion	Tokenization
1	As
2	I
3	read
4	the
5	letter
6	,
7	I
8	considered
9	the
10	vast
11	contrast
12	between
13	mind
14	and
15	morality
16	of
17	whoever
18	wrote
19	it
20	,
21	vs.
22	that
23	of
24	the
25	mind
26	of
27	the
28	man
29	who
30	once
31	said
32	"
33	Bring
34	it
35	on
36	!
37	"
Position	Tokenization	UPOS	Head	Deprel
1	As	SCONJ	3	mark
2	I	PRON	3	nsubj
3	read	VERB	8	advcl
4	the	DET	5	det
5	letter	NOUN	3	obj
6	,	PUNCT	8	punct
7	I	PRON	8	nsubj
8	considered	VERB	0	root
9	the	DET	11	det
10	vast	ADJ	11	amod
11	contrast	NOUN	8	obj
12	between	ADP	13	case
13	mind	NOUN	11	nmod
14	and	CCONJ	15	cc
15	morality	NOUN	13	conj
16	of	ADP	17	case
17	whoever	PRON	13	nmod
18	wrote	VERB	17	acl:relcl
19	it	PRON	18	obj
20	,	PUNCT	22	punct
21	vs.	CCONJ	22	cc
22	that	PRON	18	conj
23	of	ADP	25	case
24	the	DET	25	det
25	mind	NOUN	22	nmod
26	of	ADP	28	case
27	the	DET	28	det
28	man	NOUN	25	nmod
29	who	PRON	31	nsubj
30	once	ADV	31	advmod
31	said	VERB	28	acl:relcl
32	"	PUNCT	31	punct
33	Bring	VERB	31	ccomp
34	it	PRON	33	obj
35	on	ADP	33	compound:prt
36	!	PUNCT	8	punct
37	"	PUNCT	8	punct