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:
Meanwhile, Arthur Levitt has agreed to meet with us in September to brainstorm on the ideas we've generated and also to give us a sense of some of the issues as he sees them.
Postion	Tokenization
1	Meanwhile
2	,
3	Arthur
4	Levitt
5	has
6	agreed
7	to
8	meet
9	with
10	us
11	in
12	September
13	to
14	brainstorm
15	on
16	the
17	ideas
18	we've
19	we
20	've
21	generated
22	and
23	also
24	to
25	give
26	us
27	a
28	sense
29	of
30	some
31	of
32	the
33	issues
34	as
35	he
36	sees
37	them
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Meanwhile	ADV	6	advmod
2	,	PUNCT	6	punct
3	Arthur	PROPN	6	nsubj
4	Levitt	PROPN	3	flat
5	has	AUX	6	aux
6	agreed	VERB	0	root
7	to	PART	8	mark
8	meet	VERB	6	xcomp
9	with	ADP	10	case
10	us	PRON	8	obl
11	in	ADP	12	case
12	September	PROPN	8	obl
13	to	PART	14	mark
14	brainstorm	VERB	8	advcl
15	on	ADP	17	case
16	the	DET	17	det
17	ideas	NOUN	14	obl
18	we've	_	None	_
19	we	PRON	20	nsubj
20	've	AUX	20	aux
21	generated	VERB	17	acl:relcl
22	and	CCONJ	22	cc
23	also	ADV	24	advmod
24	to	PART	24	mark
25	give	VERB	14	conj
26	us	PRON	24	iobj
27	a	DET	27	det
28	sense	NOUN	24	obj
29	of	ADP	29	case
30	some	DET	27	nmod
31	of	ADP	32	case
32	the	DET	32	det
33	issues	NOUN	29	nmod
34	as	SCONJ	35	mark
35	he	PRON	35	nsubj
36	sees	VERB	32	acl
37	them	PRON	35	obj
38	.	PUNCT	6	punct