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:
I was in a meeting last week and this was discussed (I don't remember if you were there or not) but I'm thinking that you may have already proceeded ahead for implementation which is great, thanks!
Postion	Tokenization
1	I
2	was
3	in
4	a
5	meeting
6	last
7	week
8	and
9	this
10	was
11	discussed
12	(
13	I
14	don't
15	do
16	n't
17	remember
18	if
19	you
20	were
21	there
22	or
23	not
24	)
25	but
26	I'm
27	I
28	'm
29	thinking
30	that
31	you
32	may
33	have
34	already
35	proceeded
36	ahead
37	for
38	implementation
39	which
40	is
41	great
42	,
43	thanks
44	!
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	5	nsubj
2	was	AUX	5	cop
3	in	ADP	5	case
4	a	DET	5	det
5	meeting	NOUN	0	root
6	last	ADJ	7	amod
7	week	NOUN	5	obl:tmod
8	and	CCONJ	11	cc
9	this	PRON	11	nsubj:pass
10	was	AUX	11	aux:pass
11	discussed	VERB	5	conj
12	(	PUNCT	16	punct
13	I	PRON	16	nsubj
14	don't	_	None	_
15	do	AUX	16	aux
16	n't	PART	16	advmod
17	remember	VERB	5	parataxis
18	if	SCONJ	20	mark
19	you	PRON	20	nsubj
20	were	AUX	20	cop
21	there	ADV	16	ccomp
22	or	CCONJ	22	cc
23	not	PART	20	conj
24	)	PUNCT	16	punct
25	but	CCONJ	27	cc
26	I'm	_	None	_
27	I	PRON	27	nsubj
28	'm	AUX	27	aux
29	thinking	VERB	5	conj
30	that	SCONJ	33	mark
31	you	PRON	33	nsubj
32	may	AUX	33	aux
33	have	AUX	33	aux
34	already	ADV	33	advmod
35	proceeded	VERB	27	ccomp
36	ahead	ADV	33	advmod
37	for	ADP	36	case
38	implementation	NOUN	33	obl
39	which	PRON	39	nsubj
40	is	AUX	39	cop
41	great	ADJ	33	parataxis
42	,	PUNCT	41	punct
43	thanks	NOUN	5	discourse
44	!	PUNCT	41	punct