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:
I will email names and email addresses (or postal addresses) of signers to NCRC4ME in time for their “lobby day” in Raleigh on March 15.
Postion	Tokenization
1	I
2	will
3	email
4	names
5	and
6	email
7	addresses
8	(
9	or
10	postal
11	addresses
12	)
13	of
14	signers
15	to
16	NCRC4ME
17	in
18	time
19	for
20	their
21	“
22	lobby
23	day
24	”
25	in
26	Raleigh
27	on
28	March
29	15
30	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	will	AUX	3	aux
3	email	VERB	0	root
4	names	NOUN	3	obj
5	and	CCONJ	7	cc
6	email	NOUN	7	compound
7	addresses	NOUN	4	conj
8	(	PUNCT	7	punct
9	or	CCONJ	11	cc
10	postal	ADJ	11	amod
11	addresses	NOUN	7	conj
12	)	PUNCT	7	punct
13	of	ADP	14	case
14	signers	NOUN	4	nmod
15	to	ADP	16	case
16	NCRC4ME	PROPN	3	obl
17	in	ADP	18	case
18	time	NOUN	3	obl
19	for	ADP	23	case
20	their	PRON	23	nmod:poss
21	“	PUNCT	23	punct
22	lobby	NOUN	23	compound
23	day	NOUN	18	nmod
24	”	PUNCT	23	punct
25	in	ADP	26	case
26	Raleigh	PROPN	23	nmod
27	on	ADP	28	case
28	March	PROPN	23	nmod
29	15	NUM	28	nummod
30	.	PUNCT	3	punct