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 believe we are to some extent already protected with "Enron" proceeded with anything, but EnronOnline(TM) , etc. just affords us more protection.
Postion	Tokenization
1	I
2	believe
3	we
4	are
5	to
6	some
7	extent
8	already
9	protected
10	with
11	"
12	Enron
13	"
14	proceeded
15	with
16	anything
17	,
18	but
19	EnronOnline
20	(
21	TM
22	)
23	,
24	etc.
25	just
26	affords
27	us
28	more
29	protection
30	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	believe	VERB	0	root
3	we	PRON	9	nsubj:pass
4	are	AUX	9	aux:pass
5	to	ADP	7	case
6	some	DET	7	det
7	extent	NOUN	9	obl
8	already	ADV	9	advmod
9	protected	VERB	2	ccomp
10	with	ADP	12	case
11	"	PUNCT	12	punct
12	Enron	PROPN	9	obl
13	"	PUNCT	12	punct
14	proceeded	VERB	12	acl
15	with	ADP	16	case
16	anything	PRON	14	obl
17	,	PUNCT	26	punct
18	but	CCONJ	26	cc
19	EnronOnline	PROPN	21	compound
20	(	PUNCT	21	punct
21	TM	NOUN	26	nsubj
22	)	PUNCT	21	punct
23	,	PUNCT	21	punct
24	etc.	X	21	advmod
25	just	ADV	26	advmod
26	affords	VERB	2	conj
27	us	PRON	26	iobj
28	more	ADJ	29	amod
29	protection	NOUN	26	obj
30	.	PUNCT	2	punct