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:
In addition, could you look over the list below to see if there are any additional employees in your group that spent time on ECP, so we can ensure we bill all of our used resources to ECP.
Postion	Tokenization
1	In
2	addition
3	,
4	could
5	you
6	look
7	over
8	the
9	list
10	below
11	to
12	see
13	if
14	there
15	are
16	any
17	additional
18	employees
19	in
20	your
21	group
22	that
23	spent
24	time
25	on
26	ECP
27	,
28	so
29	we
30	can
31	ensure
32	we
33	bill
34	all
35	of
36	our
37	used
38	resources
39	to
40	ECP
41	.
Position	Tokenization	UPOS	Head	Deprel
1	In	ADP	2	case
2	addition	NOUN	6	obl
3	,	PUNCT	6	punct
4	could	AUX	6	aux
5	you	PRON	6	nsubj
6	look	VERB	0	root
7	over	ADP	9	case
8	the	DET	9	det
9	list	NOUN	6	obl
10	below	ADV	9	advmod
11	to	PART	12	mark
12	see	VERB	6	advcl
13	if	SCONJ	15	mark
14	there	PRON	15	expl
15	are	VERB	12	ccomp
16	any	DET	18	det
17	additional	ADJ	18	amod
18	employees	NOUN	15	nsubj
19	in	ADP	21	case
20	your	PRON	21	nmod:poss
21	group	NOUN	18	nmod
22	that	PRON	23	nsubj
23	spent	VERB	18	acl:relcl
24	time	NOUN	23	obj
25	on	ADP	26	case
26	ECP	PROPN	23	obl
27	,	PUNCT	23	punct
28	so	SCONJ	31	mark
29	we	PRON	31	nsubj
30	can	AUX	31	aux
31	ensure	VERB	23	advcl
32	we	PRON	33	nsubj
33	bill	VERB	31	ccomp
34	all	DET	33	obj
35	of	ADP	38	case
36	our	PRON	38	nmod:poss
37	used	VERB	38	amod
38	resources	NOUN	34	nmod
39	to	ADP	40	case
40	ECP	PROPN	33	obl
41	.	PUNCT	6	punct