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:
We are in the final stages of this process - where we draft a cover letter for John which will introduce this for inclusion within Globalflash ( the Enron Europe newsletter )
Postion	Tokenization
1	We
2	are
3	in
4	the
5	final
6	stages
7	of
8	this
9	process
10	-
11	where
12	we
13	draft
14	a
15	cover
16	letter
17	for
18	John
19	which
20	will
21	introduce
22	this
23	for
24	inclusion
25	within
26	Globalflash
27	(
28	the
29	Enron
30	Europe
31	newsletter
32	)
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	6	nsubj
2	are	AUX	6	cop
3	in	ADP	6	case
4	the	DET	6	det
5	final	ADJ	6	amod
6	stages	NOUN	0	root
7	of	ADP	9	case
8	this	DET	9	det
9	process	NOUN	6	nmod
10	-	PUNCT	9	punct
11	where	SCONJ	13	mark
12	we	PRON	13	nsubj
13	draft	VERB	9	acl:relcl
14	a	DET	16	det
15	cover	NOUN	16	compound
16	letter	NOUN	13	obj
17	for	ADP	18	case
18	John	PROPN	13	obl
19	which	PRON	21	nsubj
20	will	AUX	21	aux
21	introduce	VERB	13	acl:relcl
22	this	PRON	21	obj
23	for	ADP	24	case
24	inclusion	NOUN	21	obl
25	within	ADP	26	case
26	Globalflash	PROPN	24	nmod
27	(	PUNCT	26	punct
28	the	DET	31	det
29	Enron	PROPN	30	compound
30	Europe	PROPN	31	compound
31	newsletter	NOUN	26	appos
32	)	PUNCT	26	punct