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:
C'est au cours d'une de ses opérations, qu'il est arrêté pour la seconde fois le 20 janvier 1944 à Rennes avec André de Freslon.
Postion	Tokenization
1	C'
2	est
3	au
4	à
5	le
6	cours
7	d'
8	une
9	de
10	ses
11	opérations
12	,
13	qu'
14	il
15	est
16	arrêté
17	pour
18	la
19	seconde
20	fois
21	le
22	20
23	janvier
24	1944
25	à
26	Rennes
27	avec
28	André
29	de
30	Freslon
31	.
Position	Tokenization	UPOS	Head	Deprel
1	C'	PRON	5	expl:subj
2	est	AUX	5	cop
3	au	_	None	_
4	à	ADP	5	case
5	le	DET	5	det
6	cours	NOUN	0	root
7	d'	ADP	7	case
8	une	PRON	5	nmod
9	de	ADP	10	case
10	ses	DET	10	det
11	opérations	NOUN	7	nmod
12	,	PUNCT	15	punct
13	qu'	SCONJ	15	mark
14	il	PRON	15	nsubj:pass
15	est	AUX	15	aux:pass
16	arrêté	VERB	5	advcl:cleft
17	pour	ADP	19	case
18	la	DET	19	det
19	seconde	ADJ	19	amod
20	fois	NOUN	15	obl:mod
21	le	DET	21	det
22	20	NUM	15	obl:mod
23	janvier	NOUN	21	nmod
24	1944	NUM	22	nmod
25	à	ADP	25	case
26	Rennes	PROPN	15	obl:mod
27	avec	ADP	27	case
28	André	PROPN	15	obl:mod
29	de	ADP	27	flat:name
30	Freslon	PROPN	28	flat:name
31	.	PUNCT	5	punct