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:
Magali Van Belle Consultant PHB Hagler Bailly MANAGEMENT AND ECONOMIC CONSULTANTS PHB Hagler Bailly, Inc. (202) 828-3933 direct dial 1776 Eye Street, N.W. (202) 296-3858 facsimile Washington, D.C. 20006-3700 mvanbell@haglerbailly.com e-mail
Postion	Tokenization
1	Magali
2	Van
3	Belle
4	Consultant
5	PHB
6	Hagler
7	Bailly
8	MANAGEMENT
9	AND
10	ECONOMIC
11	CONSULTANTS
12	PHB
13	Hagler
14	Bailly
15	,
16	Inc.
17	(
18	202
19	)
20	828-3933
21	direct
22	dial
23	1776
24	Eye
25	Street
26	,
27	N.W.
28	(
29	202
30	)
31	296-3858
32	facsimile
33	Washington
34	,
35	D.C.
36	20006-3700
37	mvanbell@haglerbailly.com
38	e-mail
Position	Tokenization	UPOS	Head	Deprel
1	Magali	PROPN	0	root
2	Van	PROPN	1	flat
3	Belle	PROPN	1	flat
4	Consultant	NOUN	1	list
5	PHB	PROPN	1	list
6	Hagler	PROPN	5	flat
7	Bailly	PROPN	5	flat
8	MANAGEMENT	PROPN	11	compound
9	AND	CCONJ	10	cc
10	ECONOMIC	PROPN	8	conj
11	CONSULTANTS	PROPN	1	list
12	PHB	PROPN	1	list
13	Hagler	PROPN	12	flat
14	Bailly	PROPN	12	flat
15	,	PUNCT	12	punct
16	Inc.	PROPN	12	flat
17	(	PUNCT	20	punct
18	202	NUM	20	nummod
19	)	PUNCT	20	punct
20	828-3933	NUM	1	list
21	direct	ADJ	22	amod
22	dial	NOUN	20	appos
23	1776	NUM	27	nummod
24	Eye	PROPN	27	compound
25	Street	PROPN	27	compound
26	,	PUNCT	27	punct
27	N.W.	PROPN	1	list
28	(	PUNCT	31	punct
29	202	NUM	31	nummod
30	)	PUNCT	31	punct
31	296-3858	NUM	1	list
32	facsimile	NOUN	31	appos
33	Washington	PROPN	1	list
34	,	PUNCT	33	punct
35	D.C.	PROPN	33	appos
36	20006-3700	NUM	33	appos
37	mvanbell@haglerbailly.com	X	1	list
38	e-mail	NOUN	37	appos