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:
Ce jeune homme, dont le nom n'était connu que de peu de gens présents là, était Sidney Gilchrist Thomas, et le procédé Thomas-Gilchrist venait d'être annoncé pour la première fois.
Postion	Tokenization
1	Ce
2	jeune
3	homme
4	,
5	dont
6	le
7	nom
8	n'
9	était
10	connu
11	que
12	de
13	peu
14	de
15	gens
16	présents
17	là
18	,
19	était
20	Sidney
21	Gilchrist
22	Thomas
23	,
24	et
25	le
26	procédé
27	Thomas-Gilchrist
28	venait
29	d'
30	être
31	annoncé
32	pour
33	la
34	première
35	fois
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Ce	DET	3	det
2	jeune	ADJ	3	amod
3	homme	NOUN	20	nsubj
4	,	PUNCT	10	punct
5	dont	PRON	7	nmod
6	le	DET	7	det
7	nom	NOUN	10	nsubj
8	n'	ADV	10	advmod
9	était	AUX	10	aux:tense
10	connu	VERB	3	acl:relcl
11	que	ADV	13	advmod
12	de	ADP	13	case
13	peu	ADV	10	obl:agent
14	de	ADP	15	case
15	gens	NOUN	13	dep:comp
16	présents	ADJ	15	amod
17	là	ADV	16	advmod
18	,	PUNCT	10	punct
19	était	AUX	20	cop
20	Sidney	PROPN	0	root
21	Gilchrist	PROPN	20	flat:name
22	Thomas	PROPN	21	flat:name
23	,	PUNCT	28	punct
24	et	CCONJ	28	cc
25	le	DET	26	det
26	procédé	NOUN	28	nsubj
27	Thomas-Gilchrist	PROPN	26	appos
28	venait	VERB	20	conj
29	d'	ADP	31	mark
30	être	AUX	31	aux:pass
31	annoncé	VERB	28	xcomp:obl
32	pour	ADP	35	case
33	la	DET	35	det
34	première	ADJ	35	amod
35	fois	NOUN	31	obl:mod
36	.	PUNCT	20	punct