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 are following up with Sue and Robbie on a couple legal issues, case law and MSA self-certification language, and let me know if you have additional items.
Postion	Tokenization
1	We
2	are
3	following
4	up
5	with
6	Sue
7	and
8	Robbie
9	on
10	a
11	couple
12	legal
13	issues
14	,
15	case
16	law
17	and
18	MSA
19	self
20	-
21	certification
22	language
23	,
24	and
25	let
26	me
27	know
28	if
29	you
30	have
31	additional
32	items
33	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	3	nsubj
2	are	AUX	3	aux
3	following	VERB	0	root
4	up	ADP	3	compound:prt
5	with	ADP	6	case
6	Sue	PROPN	3	obl
7	and	CCONJ	8	cc
8	Robbie	PROPN	6	conj
9	on	ADP	13	case
10	a	DET	11	det
11	couple	NOUN	13	compound
12	legal	ADJ	13	amod
13	issues	NOUN	3	obl
14	,	PUNCT	13	punct
15	case	NOUN	16	compound
16	law	NOUN	13	appos
17	and	CCONJ	22	cc
18	MSA	PROPN	21	compound
19	self	NOUN	21	compound
20	-	PUNCT	21	punct
21	certification	NOUN	22	compound
22	language	NOUN	16	conj
23	,	PUNCT	13	punct
24	and	CCONJ	25	cc
25	let	VERB	3	conj
26	me	PRON	25	obj
27	know	VERB	25	xcomp
28	if	SCONJ	30	mark
29	you	PRON	30	nsubj
30	have	VERB	27	advcl
31	additional	ADJ	32	amod
32	items	NOUN	30	obj
33	.	PUNCT	3	punct