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:
As I mentioned in my voice mail, Mike Roberts going to hire Sara Woody, a recent MBA grad from Rice, into his group.
Postion	Tokenization
1	As
2	I
3	mentioned
4	in
5	my
6	voice
7	mail
8	,
9	Mike
10	Roberts
11	going
12	to
13	hire
14	Sara
15	Woody
16	,
17	a
18	recent
19	MBA
20	grad
21	from
22	Rice
23	,
24	into
25	his
26	group
27	.
Position	Tokenization	UPOS	Head	Deprel
1	As	SCONJ	3	mark
2	I	PRON	3	nsubj
3	mentioned	VERB	11	advcl
4	in	ADP	7	case
5	my	PRON	7	nmod:poss
6	voice	NOUN	7	compound
7	mail	NOUN	3	obl
8	,	PUNCT	9	punct
9	Mike	PROPN	11	nsubj
10	Roberts	PROPN	9	flat
11	going	VERB	0	root
12	to	PART	13	mark
13	hire	VERB	11	xcomp
14	Sara	PROPN	13	obj
15	Woody	PROPN	14	flat
16	,	PUNCT	14	punct
17	a	DET	20	det
18	recent	ADJ	20	amod
19	MBA	NOUN	20	compound
20	grad	NOUN	14	appos
21	from	ADP	22	case
22	Rice	PROPN	20	nmod
23	,	PUNCT	13	punct
24	into	ADP	26	case
25	his	PRON	26	nmod:poss
26	group	NOUN	13	obl
27	.	PUNCT	9	punct