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 answer is likely D: all of the above, due to this being a complex reality we live in.
Postion	Tokenization
1	The
2	answer
3	is
4	likely
5	D
6	:
7	all
8	of
9	the
10	above
11	,
12	due
13	to
14	this
15	being
16	a
17	complex
18	reality
19	we
20	live
21	in
22	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	answer	NOUN	5	nsubj
3	is	AUX	5	cop
4	likely	ADV	5	advmod
5	D	NOUN	0	root
6	:	PUNCT	5	punct
7	all	DET	5	appos
8	of	ADP	10	case
9	the	DET	10	det
10	above	ADJ	7	nmod
11	,	PUNCT	5	punct
12	due	ADP	18	mark
13	to	SCONJ	12	fixed
14	this	PRON	18	nsubj
15	being	AUX	18	cop
16	a	DET	18	det
17	complex	ADJ	18	amod
18	reality	NOUN	5	advcl
19	we	PRON	20	nsubj
20	live	VERB	18	acl:relcl
21	in	ADP	20	obl
22	.	PUNCT	5	punct