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 he is correct in that he needs my physical address for legal reasons, however, he did not adequately explain this during our session.
Postion	Tokenization
1	I
2	believe
3	he
4	is
5	correct
6	in
7	that
8	he
9	needs
10	my
11	physical
12	address
13	for
14	legal
15	reasons
16	,
17	however
18	,
19	he
20	did
21	not
22	adequately
23	explain
24	this
25	during
26	our
27	session
28	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	believe	VERB	0	root
3	he	PRON	5	nsubj
4	is	AUX	5	cop
5	correct	ADJ	2	ccomp
6	in	SCONJ	9	mark
7	that	DET	6	fixed
8	he	PRON	9	nsubj
9	needs	VERB	5	advcl
10	my	PRON	12	nmod:poss
11	physical	ADJ	12	amod
12	address	NOUN	9	obj
13	for	ADP	15	case
14	legal	ADJ	15	amod
15	reasons	NOUN	9	obl
16	,	PUNCT	2	punct
17	however	ADV	23	advmod
18	,	PUNCT	23	punct
19	he	PRON	23	nsubj
20	did	AUX	23	aux
21	not	PART	23	advmod
22	adequately	ADV	23	advmod
23	explain	VERB	2	parataxis
24	this	PRON	23	obj
25	during	ADP	27	case
26	our	PRON	27	nmod:poss
27	session	NOUN	23	obl
28	.	PUNCT	2	punct