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 remarqué, « quand je pense combien je suis heureux à nouveau, mes pensées me ramènent à Morpeth ».
Postion	Tokenization
1	Il
2	est
3	connu
4	pour
5	avoir
6	remarqué
7	,
8	«
9	quand
10	je
11	pense
12	combien
13	je
14	suis
15	heureux
16	à
17	nouveau
18	,
19	mes
20	pensées
21	me
22	ramènent
23	à
24	Morpeth
25	»
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	remarqué	VERB	3	xcomp:obl
7	,	PUNCT	22	punct
8	«	PUNCT	22	punct
9	quand	SCONJ	11	mark
10	je	PRON	11	nsubj
11	pense	VERB	22	advcl
12	combien	ADV	15	advmod
13	je	PRON	15	nsubj
14	suis	AUX	15	cop
15	heureux	ADJ	11	ccomp:obj
16	à	ADP	15	advmod
17	nouveau	ADJ	16	fixed
18	,	PUNCT	15	punct
19	mes	DET	20	det
20	pensées	NOUN	22	nsubj
21	me	PRON	22	obj
22	ramènent	VERB	6	ccomp:obj
23	à	ADP	24	case
24	Morpeth	PROPN	22	obl:arg
25	»	PUNCT	22	punct
26	.	PUNCT	3	punct