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:
The person who best explains this, and helps me out the best with my question will be REWARDED WITH TEN POINTS!!!!!!!
Postion	Tokenization
1	The
2	person
3	who
4	best
5	explains
6	this
7	,
8	and
9	helps
10	me
11	out
12	the
13	best
14	with
15	my
16	question
17	will
18	be
19	REWARDED
20	WITH
21	TEN
22	POINTS
23	!!!!!!!
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	person	NOUN	19	nsubj:pass
3	who	PRON	5	nsubj
4	best	ADV	5	advmod
5	explains	VERB	2	acl:relcl
6	this	PRON	5	obj
7	,	PUNCT	9	punct
8	and	CCONJ	9	cc
9	helps	VERB	5	conj
10	me	PRON	9	obj
11	out	ADP	9	compound:prt
12	the	DET	13	det
13	best	ADV	9	advmod
14	with	ADP	16	case
15	my	PRON	16	nmod:poss
16	question	NOUN	9	obl
17	will	AUX	19	aux
18	be	AUX	19	aux:pass
19	REWARDED	VERB	0	root
20	WITH	ADP	22	case
21	TEN	NUM	22	nummod
22	POINTS	NOUN	19	obl
23	!!!!!!!	PUNCT	19	punct