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:
During the session, he demanded to have my physical address, which I've always kept private as I am enrolled in a witness protection program.
Postion	Tokenization
1	During
2	the
3	session
4	,
5	he
6	demanded
7	to
8	have
9	my
10	physical
11	address
12	,
13	which
14	I've
15	I
16	've
17	always
18	kept
19	private
20	as
21	I
22	am
23	enrolled
24	in
25	a
26	witness
27	protection
28	program
29	.
Position	Tokenization	UPOS	Head	Deprel
1	During	ADP	3	case
2	the	DET	3	det
3	session	NOUN	6	obl
4	,	PUNCT	6	punct
5	he	PRON	6	nsubj
6	demanded	VERB	0	root
7	to	PART	8	mark
8	have	VERB	6	xcomp
9	my	PRON	11	nmod:poss
10	physical	ADJ	11	amod
11	address	NOUN	8	obj
12	,	PUNCT	11	punct
13	which	PRON	17	obj
14	I've	_	None	_
15	I	PRON	17	nsubj
16	've	AUX	17	aux
17	always	ADV	17	advmod
18	kept	VERB	11	acl:relcl
19	private	ADJ	17	xcomp
20	as	SCONJ	22	mark
21	I	PRON	22	nsubj:pass
22	am	AUX	22	aux:pass
23	enrolled	VERB	17	advcl
24	in	ADP	27	case
25	a	DET	27	det
26	witness	NOUN	26	compound
27	protection	NOUN	27	compound
28	program	NOUN	22	obl
29	.	PUNCT	6	punct