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:
Son travail obtient une certaine reconnaissance : en 1934, avec sa trilogie I Fuggiaschi, écrite entre 1929 et 1933, il remporte le prix Foce.
Postion	Tokenization
1	Son
2	travail
3	obtient
4	une
5	certaine
6	reconnaissance
7	:
8	en
9	1934
10	,
11	avec
12	sa
13	trilogie
14	I
15	Fuggiaschi
16	,
17	écrite
18	entre
19	1929
20	et
21	1933
22	,
23	il
24	remporte
25	le
26	prix
27	Foce
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Son	DET	2	det
2	travail	NOUN	3	nsubj
3	obtient	VERB	0	root
4	une	DET	6	det
5	certaine	ADJ	6	amod
6	reconnaissance	NOUN	3	obj
7	:	PUNCT	24	punct
8	en	ADP	9	case
9	1934	NUM	24	obl:mod
10	,	PUNCT	9	punct
11	avec	ADP	13	case
12	sa	DET	13	det
13	trilogie	NOUN	24	obl:mod
14	I	PROPN	13	appos
15	Fuggiaschi	PROPN	14	flat:name
16	,	PUNCT	17	punct
17	écrite	VERB	13	acl
18	entre	ADP	19	case
19	1929	NUM	17	obl:mod
20	et	CCONJ	21	cc
21	1933	NUM	19	conj
22	,	PUNCT	13	punct
23	il	PRON	24	nsubj
24	remporte	VERB	3	parataxis
25	le	DET	26	det
26	prix	NOUN	24	obj
27	Foce	PROPN	26	appos
28	.	PUNCT	3	punct