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:
Spiru Haret, né le 15 février 1851 à Iaşi, et mort le 17 décembre 1912 à Bucarest est un scientifique, mathématicien, astronome, pédagogue, ministre de l'Éducation et académicien roumain.
Postion	Tokenization
1	Spiru
2	Haret
3	,
4	né
5	le
6	15
7	février
8	1851
9	à
10	Iaşi
11	,
12	et
13	mort
14	le
15	17
16	décembre
17	1912
18	à
19	Bucarest
20	est
21	un
22	scientifique
23	,
24	mathématicien
25	,
26	astronome
27	,
28	pédagogue
29	,
30	ministre
31	de
32	l'
33	Éducation
34	et
35	académicien
36	roumain
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Spiru	PROPN	22	nsubj
2	Haret	PROPN	1	flat:name
3	,	PUNCT	4	punct
4	né	VERB	1	acl
5	le	DET	6	det
6	15	NUM	4	obl:arg
7	février	NOUN	6	nmod
8	1851	NUM	7	nmod
9	à	ADP	10	case
10	Iaşi	PROPN	4	obl:arg
11	,	PUNCT	13	punct
12	et	CCONJ	13	cc
13	mort	VERB	4	conj
14	le	DET	15	det
15	17	NUM	13	obl:arg
16	décembre	NOUN	15	nmod
17	1912	NUM	16	nmod
18	à	ADP	19	case
19	Bucarest	PROPN	13	obl:arg
20	est	AUX	22	cop
21	un	DET	22	det
22	scientifique	NOUN	0	root
23	,	PUNCT	24	punct
24	mathématicien	NOUN	22	conj
25	,	PUNCT	26	punct
26	astronome	NOUN	22	conj
27	,	PUNCT	28	punct
28	pédagogue	NOUN	22	conj
29	,	PUNCT	30	punct
30	ministre	NOUN	22	conj
31	de	ADP	33	case
32	l'	DET	33	det
33	Éducation	NOUN	30	nmod
34	et	CCONJ	35	cc
35	académicien	NOUN	22	conj
36	roumain	ADJ	22	amod
37	.	PUNCT	22	punct