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 do not feel secure at all to see my SS in so many databases at Enron, especially when some databases are from third-parties (out-sourcing).
Postion	Tokenization
1	I
2	do
3	not
4	feel
5	secure
6	at
7	all
8	to
9	see
10	my
11	SS
12	in
13	so
14	many
15	databases
16	at
17	Enron
18	,
19	especially
20	when
21	some
22	databases
23	are
24	from
25	third
26	-
27	parties
28	(
29	out
30	-
31	sourcing
32	)
33	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	do	AUX	4	aux
3	not	PART	4	advmod
4	feel	VERB	0	root
5	secure	ADJ	4	xcomp
6	at	ADV	7	case
7	all	ADV	4	obl
8	to	PART	9	mark
9	see	VERB	4	advcl
10	my	PRON	11	nmod:poss
11	SS	NOUN	9	obj
12	in	ADP	15	case
13	so	ADV	14	advmod
14	many	ADJ	15	amod
15	databases	NOUN	9	obl
16	at	ADP	17	case
17	Enron	PROPN	15	nmod
18	,	PUNCT	9	punct
19	especially	ADV	27	advmod
20	when	SCONJ	27	mark
21	some	DET	22	det
22	databases	NOUN	27	nsubj
23	are	AUX	27	cop
24	from	ADP	27	case
25	third	ADJ	27	amod
26	-	PUNCT	27	punct
27	parties	NOUN	9	advcl
28	(	PUNCT	27	punct
29	out	NOUN	31	compound
30	-	PUNCT	31	punct
31	sourcing	NOUN	27	appos
32	)	PUNCT	27	punct
33	.	PUNCT	4	punct