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:
Here are some emails we have sent, along with the flyer for the Benefit fund raiser we are holding in June, just for your information.
Postion	Tokenization
1	Here
2	are
3	some
4	emails
5	we
6	have
7	sent
8	,
9	along
10	with
11	the
12	flyer
13	for
14	the
15	Benefit
16	fund
17	raiser
18	we
19	are
20	holding
21	in
22	June
23	,
24	just
25	for
26	your
27	information
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Here	ADV	0	root
2	are	AUX	1	cop
3	some	DET	4	det
4	emails	NOUN	1	nsubj
5	we	PRON	7	nsubj
6	have	AUX	7	aux
7	sent	VERB	4	acl:relcl
8	,	PUNCT	4	punct
9	along	ADP	12	case
10	with	ADP	12	case
11	the	DET	12	det
12	flyer	NOUN	4	nmod
13	for	ADP	17	case
14	the	DET	17	det
15	Benefit	NOUN	17	compound
16	fund	NOUN	17	compound
17	raiser	NOUN	12	nmod
18	we	PRON	20	nsubj
19	are	AUX	20	aux
20	holding	VERB	17	acl:relcl
21	in	ADP	22	case
22	June	PROPN	20	obl
23	,	PUNCT	1	punct
24	just	ADV	27	advmod
25	for	ADP	27	case
26	your	PRON	27	nmod:poss
27	information	NOUN	1	obl
28	.	PUNCT	1	punct