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 add that in because there have been some people who have tried to claim citizenship by sending for their birth certificate when they were never really born in Canada or to Canadian parents.
Postion	Tokenization
1	I
2	add
3	that
4	in
5	because
6	there
7	have
8	been
9	some
10	people
11	who
12	have
13	tried
14	to
15	claim
16	citizenship
17	by
18	sending
19	for
20	their
21	birth
22	certificate
23	when
24	they
25	were
26	never
27	really
28	born
29	in
30	Canada
31	or
32	to
33	Canadian
34	parents
35	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	add	VERB	0	root
3	that	PRON	2	obj
4	in	ADV	2	advmod
5	because	SCONJ	8	mark
6	there	PRON	8	expl
7	have	AUX	8	aux
8	been	VERB	2	advcl
9	some	DET	10	det
10	people	NOUN	8	nsubj
11	who	PRON	13	nsubj
12	have	AUX	13	aux
13	tried	VERB	10	acl:relcl
14	to	PART	15	mark
15	claim	VERB	13	xcomp
16	citizenship	NOUN	15	obj
17	by	SCONJ	18	mark
18	sending	VERB	15	advcl
19	for	ADP	22	case
20	their	PRON	22	nmod:poss
21	birth	NOUN	22	compound
22	certificate	NOUN	18	obl
23	when	SCONJ	28	mark
24	they	PRON	28	nsubj:pass
25	were	AUX	28	aux:pass
26	never	ADV	28	advmod
27	really	ADV	28	advmod
28	born	VERB	18	advcl
29	in	ADP	30	case
30	Canada	PROPN	28	obl
31	or	CCONJ	34	cc
32	to	ADP	34	case
33	Canadian	ADJ	34	amod
34	parents	NOUN	30	conj
35	.	PUNCT	2	punct