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:
Off and on ( with Jackie Gentle's help ) I have pulled together a one page communication note on our fundamental operating standards ( itself a one page summary ).
Postion	Tokenization
1	Off
2	and
3	on
4	(
5	with
6	Jackie
7	Gentle's
8	Gentle
9	's
10	help
11	)
12	I
13	have
14	pulled
15	together
16	a
17	one
18	page
19	communication
20	note
21	on
22	our
23	fundamental
24	operating
25	standards
26	(
27	itself
28	a
29	one
30	page
31	summary
32	)
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Off	ADV	13	advmod
2	and	CCONJ	3	cc
3	on	ADV	1	conj
4	(	PUNCT	13	punct
5	with	ADP	9	case
6	Jackie	PROPN	9	nmod:poss
7	Gentle's	_	None	_
8	Gentle	PROPN	6	flat
9	's	PART	6	case
10	help	NOUN	13	obl
11	)	PUNCT	13	punct
12	I	PRON	13	nsubj
13	have	AUX	13	aux
14	pulled	VERB	0	root
15	together	ADV	13	compound:prt
16	a	DET	19	det
17	one	NUM	17	nummod
18	page	NOUN	19	compound
19	communication	NOUN	19	compound
20	note	NOUN	13	obj
21	on	ADP	24	case
22	our	PRON	24	nmod:poss
23	fundamental	ADJ	24	amod
24	operating	NOUN	24	compound
25	standards	NOUN	19	nmod
26	(	PUNCT	30	punct
27	itself	PRON	30	nmod:npmod
28	a	DET	30	det
29	one	NUM	29	nummod
30	page	NOUN	30	compound
31	summary	NOUN	24	appos
32	)	PUNCT	30	punct
33	.	PUNCT	13	punct