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:
Michael Cramer, né le 16 juin 1949 à Gevelsberg, est un député européen allemand élu pour la première fois lors des élections européennes de 2004.
Postion	Tokenization
1	Michael
2	Cramer
3	,
4	né
5	le
6	16
7	juin
8	1949
9	à
10	Gevelsberg
11	,
12	est
13	un
14	député
15	européen
16	allemand
17	élu
18	pour
19	la
20	première
21	fois
22	lors
23	des
24	de
25	les
26	élections
27	européennes
28	de
29	2004
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Michael	PROPN	14	nsubj
2	Cramer	PROPN	1	flat:name
3	,	PUNCT	4	punct
4	né	VERB	1	acl
5	le	DET	6	det
6	16	NUM	4	obl:arg
7	juin	NOUN	6	nmod
8	1949	NUM	7	nmod
9	à	ADP	10	case
10	Gevelsberg	PROPN	4	obl:arg
11	,	PUNCT	4	punct
12	est	AUX	14	cop
13	un	DET	14	det
14	député	NOUN	0	root
15	européen	ADJ	14	amod
16	allemand	ADJ	14	amod
17	élu	VERB	14	acl
18	pour	ADP	21	case
19	la	DET	21	det
20	première	ADJ	21	amod
21	fois	NOUN	17	obl:mod
22	lors	ADV	17	advmod
23	des	_	None	_
24	de	ADP	25	case
25	les	DET	25	det
26	élections	NOUN	22	obl:arg
27	européennes	ADJ	25	amod
28	de	ADP	28	case
29	2004	NUM	25	nmod
30	.	PUNCT	14	punct