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 découvre ses deux enfants manquants chez un marchand du nom de Gustavus Fellowes qui a pris soin d'eux en reconnaissance de ses soins à quatre de ses voisins marins bostoniens en 1781.
Postion	Tokenization
1	Il
2	découvre
3	ses
4	deux
5	enfants
6	manquants
7	chez
8	un
9	marchand
10	du
11	de
12	le
13	nom
14	de
15	Gustavus
16	Fellowes
17	qui
18	a
19	pris
20	soin
21	d'
22	eux
23	en
24	reconnaissance
25	de
26	ses
27	soins
28	à
29	quatre
30	de
31	ses
32	voisins
33	marins
34	bostoniens
35	en
36	1781
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	découvre	VERB	0	root
3	ses	DET	5	det
4	deux	NUM	5	nummod
5	enfants	NOUN	2	obj
6	manquants	ADJ	5	amod
7	chez	ADP	9	case
8	un	DET	9	det
9	marchand	NOUN	2	obl:mod
10	du	_	None	_
11	de	ADP	12	case
12	le	DET	12	det
13	nom	NOUN	9	nmod
14	de	ADP	14	case
15	Gustavus	PROPN	12	nmod
16	Fellowes	PROPN	14	flat:name
17	qui	PRON	18	nsubj
18	a	AUX	18	aux:tense
19	pris	VERB	9	acl:relcl
20	soin	NOUN	18	obj:lvc
21	d'	ADP	21	case
22	eux	PRON	19	dep:comp
23	en	ADP	23	case
24	reconnaissance	NOUN	18	obl:mod
25	de	ADP	26	case
26	ses	DET	26	det
27	soins	NOUN	23	nmod
28	à	ADP	28	case
29	quatre	NUM	26	nmod
30	de	ADP	31	case
31	ses	DET	31	det
32	voisins	NOUN	28	nmod
33	marins	NOUN	31	nmod
34	bostoniens	ADJ	31	amod
35	en	ADP	35	case
36	1781	NUM	26	nmod
37	.	PUNCT	2	punct