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:
We have received the amendment to the BC Gas ISDA Master executed by BC Gas, which adds the Canadian Securities Representation, so we don't have to add the rep into every confirm.
Postion	Tokenization
1	We
2	have
3	received
4	the
5	amendment
6	to
7	the
8	BC
9	Gas
10	ISDA
11	Master
12	executed
13	by
14	BC
15	Gas
16	,
17	which
18	adds
19	the
20	Canadian
21	Securities
22	Representation
23	,
24	so
25	we
26	don't
27	do
28	n't
29	have
30	to
31	add
32	the
33	rep
34	into
35	every
36	confirm
37	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	3	nsubj
2	have	AUX	3	aux
3	received	VERB	0	root
4	the	DET	5	det
5	amendment	NOUN	3	obj
6	to	ADP	11	case
7	the	DET	11	det
8	BC	PROPN	9	compound
9	Gas	PROPN	10	compound
10	ISDA	PROPN	11	compound
11	Master	NOUN	5	nmod
12	executed	VERB	5	acl
13	by	ADP	15	case
14	BC	PROPN	15	compound
15	Gas	PROPN	12	obl
16	,	PUNCT	5	punct
17	which	PRON	18	nsubj
18	adds	VERB	5	acl:relcl
19	the	DET	22	det
20	Canadian	ADJ	21	amod
21	Securities	NOUN	22	compound
22	Representation	NOUN	18	obj
23	,	PUNCT	18	punct
24	so	SCONJ	28	mark
25	we	PRON	28	nsubj
26	don't	_	None	_
27	do	AUX	28	aux
28	n't	PART	28	advmod
29	have	VERB	18	advcl
30	to	PART	30	mark
31	add	VERB	28	xcomp
32	the	DET	32	det
33	rep	NOUN	30	obj
34	into	ADP	35	case
35	every	DET	35	det
36	confirm	NOUN	30	obl
37	.	PUNCT	3	punct