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:
It is less complicated for me to initial and fax than to track down someone who doesn't know anything about it and get them to initial it.
Postion	Tokenization
1	It
2	is
3	less
4	complicated
5	for
6	me
7	to
8	initial
9	and
10	fax
11	than
12	to
13	track
14	down
15	someone
16	who
17	doesn't
18	does
19	n't
20	know
21	anything
22	about
23	it
24	and
25	get
26	them
27	to
28	initial
29	it
30	.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	4	expl
2	is	AUX	4	cop
3	less	ADV	4	advmod
4	complicated	ADJ	0	root
5	for	SCONJ	8	mark
6	me	PRON	8	nsubj
7	to	PART	8	mark
8	initial	VERB	4	csubj
9	and	CCONJ	10	cc
10	fax	VERB	8	conj
11	than	SCONJ	13	mark
12	to	PART	13	mark
13	track	VERB	4	advcl
14	down	ADP	13	compound:prt
15	someone	PRON	13	obj
16	who	PRON	19	nsubj
17	doesn't	_	None	_
18	does	AUX	19	aux
19	n't	PART	19	advmod
20	know	VERB	15	acl:relcl
21	anything	PRON	19	obj
22	about	ADP	22	case
23	it	PRON	20	nmod
24	and	CCONJ	24	cc
25	get	VERB	13	conj
26	them	PRON	24	obj
27	to	PART	27	mark
28	initial	VERB	24	xcomp
29	it	PRON	27	obj
30	.	PUNCT	4	punct