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 would like to have a meeting once a week for 1-2 hours with all 6 of us just to make sure we are moving forward and to get an update and anything and everything.
Postion	Tokenization
1	I
2	would
3	like
4	to
5	have
6	a
7	meeting
8	once
9	a
10	week
11	for
12	1
13	-
14	2
15	hours
16	with
17	all
18	6
19	of
20	us
21	just
22	to
23	make
24	sure
25	we
26	are
27	moving
28	forward
29	and
30	to
31	get
32	an
33	update
34	and
35	anything
36	and
37	everything
38	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	would	AUX	3	aux
3	like	VERB	0	root
4	to	PART	5	mark
5	have	VERB	3	xcomp
6	a	DET	7	det
7	meeting	NOUN	5	obj
8	once	ADV	10	case
9	a	DET	10	det
10	week	NOUN	7	advmod
11	for	ADP	15	case
12	1	NUM	15	nummod
13	-	SYM	14	case
14	2	NUM	12	nmod
15	hours	NOUN	7	nmod
16	with	ADP	18	case
17	all	DET	18	det
18	6	NUM	7	nmod
19	of	ADP	20	case
20	us	PRON	18	nmod
21	just	ADV	23	advmod
22	to	PART	23	mark
23	make	VERB	5	advcl
24	sure	ADJ	23	xcomp
25	we	PRON	27	nsubj
26	are	AUX	27	aux
27	moving	VERB	24	ccomp
28	forward	ADV	27	advmod
29	and	CCONJ	31	cc
30	to	PART	31	mark
31	get	VERB	23	conj
32	an	DET	33	det
33	update	NOUN	31	obj
34	and	CCONJ	35	cc
35	anything	PRON	33	conj
36	and	CCONJ	37	cc
37	everything	PRON	33	conj
38	.	PUNCT	3	punct