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:
Also we do not address calculation of a termination payment in the event of a change in law as the long form does -- again, more in the interest of "saving space" than anything else...
Postion	Tokenization
1	Also
2	we
3	do
4	not
5	address
6	calculation
7	of
8	a
9	termination
10	payment
11	in
12	the
13	event
14	of
15	a
16	change
17	in
18	law
19	as
20	the
21	long
22	form
23	does
24	--
25	again
26	,
27	more
28	in
29	the
30	interest
31	of
32	"
33	saving
34	space
35	"
36	than
37	anything
38	else
39	...
Position	Tokenization	UPOS	Head	Deprel
1	Also	ADV	5	advmod
2	we	PRON	5	nsubj
3	do	AUX	5	aux
4	not	PART	5	advmod
5	address	VERB	0	root
6	calculation	NOUN	5	obj
7	of	ADP	10	case
8	a	DET	10	det
9	termination	NOUN	10	compound
10	payment	NOUN	6	nmod
11	in	ADP	13	case
12	the	DET	13	det
13	event	NOUN	10	nmod
14	of	ADP	16	case
15	a	DET	16	det
16	change	NOUN	13	nmod
17	in	ADP	18	case
18	law	NOUN	16	nmod
19	as	SCONJ	23	mark
20	the	DET	22	det
21	long	ADJ	22	amod
22	form	NOUN	23	nsubj
23	does	VERB	5	advcl
24	--	PUNCT	5	punct
25	again	ADV	30	advmod
26	,	PUNCT	30	punct
27	more	ADV	30	advmod
28	in	ADP	30	case
29	the	DET	30	det
30	interest	NOUN	5	obl
31	of	SCONJ	33	mark
32	"	PUNCT	33	punct
33	saving	VERB	30	acl
34	space	NOUN	33	obj
35	"	PUNCT	33	punct
36	than	ADP	37	case
37	anything	PRON	27	obl
38	else	ADJ	37	amod
39	...	PUNCT	5	punct