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:
Andre is going to look over the list of curves needed for the global assets (August Board meeting) one more time before I forward it to you.
Postion	Tokenization
1	Andre
2	is
3	going
4	to
5	look
6	over
7	the
8	list
9	of
10	curves
11	needed
12	for
13	the
14	global
15	assets
16	(
17	August
18	Board
19	meeting
20	)
21	one
22	more
23	time
24	before
25	I
26	forward
27	it
28	to
29	you
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Andre	PROPN	3	nsubj
2	is	AUX	3	aux
3	going	VERB	0	root
4	to	PART	5	mark
5	look	VERB	3	xcomp
6	over	ADP	8	case
7	the	DET	8	det
8	list	NOUN	5	obl
9	of	ADP	10	case
10	curves	NOUN	8	nmod
11	needed	VERB	10	acl
12	for	ADP	15	case
13	the	DET	15	det
14	global	ADJ	15	amod
15	assets	NOUN	11	obl
16	(	PUNCT	19	punct
17	August	PROPN	19	compound
18	Board	NOUN	19	compound
19	meeting	NOUN	5	parataxis
20	)	PUNCT	19	punct
21	one	NUM	23	nummod
22	more	ADJ	23	amod
23	time	NOUN	5	advmod
24	before	SCONJ	26	mark
25	I	PRON	26	nsubj
26	forward	VERB	5	advcl
27	it	PRON	26	obj
28	to	ADP	29	case
29	you	PRON	26	obl
30	.	PUNCT	3	punct