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:
Plus, I work with Janet a lot so she may get some comfort from that, instead of having a lawyer she hasn't dealt with initial it.
Postion	Tokenization
1	Plus
2	,
3	I
4	work
5	with
6	Janet
7	a
8	lot
9	so
10	she
11	may
12	get
13	some
14	comfort
15	from
16	that
17	,
18	instead
19	of
20	having
21	a
22	lawyer
23	she
24	hasn't
25	has
26	n't
27	dealt
28	with
29	initial
30	it
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Plus	CCONJ	12	cc
2	,	PUNCT	4	punct
3	I	PRON	4	nsubj
4	work	VERB	0	root
5	with	ADP	6	case
6	Janet	PROPN	4	obl
7	a	DET	8	det
8	lot	NOUN	4	obl:npmod
9	so	ADV	12	advmod
10	she	PRON	12	nsubj
11	may	AUX	12	aux
12	get	VERB	4	conj
13	some	DET	14	det
14	comfort	NOUN	12	obj
15	from	ADP	16	case
16	that	PRON	12	obl
17	,	PUNCT	12	punct
18	instead	ADV	20	mark
19	of	SCONJ	18	fixed
20	having	VERB	12	advcl
21	a	DET	22	det
22	lawyer	NOUN	28	nsubj
23	she	PRON	26	nsubj
24	hasn't	_	None	_
25	has	AUX	26	aux
26	n't	PART	26	advmod
27	dealt	VERB	22	acl:relcl
28	with	ADP	26	obl
29	initial	VERB	20	ccomp
30	it	PRON	28	obj
31	.	PUNCT	4	punct