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:
While I left a you a phone message with some information about our project, I thought I could give you some additional details by e-mail as well...
Postion	Tokenization
1	While
2	I
3	left
4	a
5	you
6	a
7	phone
8	message
9	with
10	some
11	information
12	about
13	our
14	project
15	,
16	I
17	thought
18	I
19	could
20	give
21	you
22	some
23	additional
24	details
25	by
26	e-mail
27	as
28	well
29	...
Position	Tokenization	UPOS	Head	Deprel
1	While	SCONJ	3	mark
2	I	PRON	3	nsubj
3	left	VERB	17	advcl
4	a	DET	5	reparandum
5	you	PRON	3	iobj
6	a	DET	8	det
7	phone	NOUN	8	compound
8	message	NOUN	3	obj
9	with	ADP	11	case
10	some	DET	11	det
11	information	NOUN	8	nmod
12	about	ADP	14	case
13	our	PRON	14	nmod:poss
14	project	NOUN	11	nmod
15	,	PUNCT	17	punct
16	I	PRON	17	nsubj
17	thought	VERB	0	root
18	I	PRON	20	nsubj
19	could	AUX	20	aux
20	give	VERB	17	ccomp
21	you	PRON	20	iobj
22	some	DET	24	det
23	additional	ADJ	24	amod
24	details	NOUN	20	obj
25	by	ADP	26	case
26	e-mail	NOUN	20	obl
27	as	ADV	20	advmod
28	well	ADV	27	fixed
29	...	PUNCT	17	punct