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:
The AR/AP SAP data quality reviews for both businesses are continuing so as to provide a detailed analysis as at end Q1.
Postion	Tokenization
1	The
2	AR
3	/
4	AP
5	SAP
6	data
7	quality
8	reviews
9	for
10	both
11	businesses
12	are
13	continuing
14	so
15	as
16	to
17	provide
18	a
19	detailed
20	analysis
21	as
22	at
23	end
24	Q1
25	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	8	det
2	AR	NOUN	8	compound
3	/	PUNCT	4	cc
4	AP	NOUN	2	conj
5	SAP	NOUN	8	compound
6	data	NOUN	7	compound
7	quality	NOUN	8	compound
8	reviews	NOUN	13	nsubj
9	for	ADP	11	case
10	both	DET	11	det
11	businesses	NOUN	8	nmod
12	are	AUX	13	aux
13	continuing	VERB	0	root
14	so	SCONJ	17	mark
15	as	SCONJ	14	fixed
16	to	PART	14	fixed
17	provide	VERB	13	advcl
18	a	DET	20	det
19	detailed	ADJ	20	amod
20	analysis	NOUN	17	obj
21	as	ADP	23	case
22	at	ADP	23	case
23	end	NOUN	17	obl
24	Q1	NOUN	23	nmod:tmod
25	.	PUNCT	13	punct