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:
Il est connu pour avoir soutenu la présence de canaux sur Mars et fut le fondateur de l'observatoire Lowell à Flagstaff, en Arizona.
Postion	Tokenization
1	Il
2	est
3	connu
4	pour
5	avoir
6	soutenu
7	la
8	présence
9	de
10	canaux
11	sur
12	Mars
13	et
14	fut
15	le
16	fondateur
17	de
18	l'
19	observatoire
20	Lowell
21	à
22	Flagstaff
23	,
24	en
25	Arizona
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	3	nsubj:pass
2	est	AUX	3	aux:pass
3	connu	VERB	0	root
4	pour	ADP	6	mark
5	avoir	AUX	6	aux:tense
6	soutenu	VERB	3	advcl
7	la	DET	8	det
8	présence	NOUN	6	obj
9	de	ADP	10	case
10	canaux	NOUN	8	nmod
11	sur	ADP	12	case
12	Mars	PROPN	8	nmod
13	et	CCONJ	16	cc
14	fut	AUX	16	cop
15	le	DET	16	det
16	fondateur	NOUN	3	conj
17	de	ADP	19	case
18	l'	DET	19	det
19	observatoire	NOUN	16	nmod
20	Lowell	PROPN	19	appos
21	à	ADP	22	case
22	Flagstaff	PROPN	19	nmod
23	,	PUNCT	25	punct
24	en	ADP	25	case
25	Arizona	PROPN	19	nmod
26	.	PUNCT	3	punct