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:
Les campagnes électorales qui suivirent ces annulations se déroulèrent dans un climat tel que la victoire du Front populaire dans ces deux provinces semble très suspecte.
Postion	Tokenization
1	Les
2	campagnes
3	électorales
4	qui
5	suivirent
6	ces
7	annulations
8	se
9	déroulèrent
10	dans
11	un
12	climat
13	tel
14	que
15	la
16	victoire
17	du
18	de
19	le
20	Front
21	populaire
22	dans
23	ces
24	deux
25	provinces
26	semble
27	très
28	suspecte
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	campagnes	NOUN	9	nsubj
3	électorales	ADJ	2	amod
4	qui	PRON	5	nsubj
5	suivirent	VERB	2	acl:relcl
6	ces	DET	7	det
7	annulations	NOUN	5	obj
8	se	PRON	9	dep:comp
9	déroulèrent	VERB	0	root
10	dans	ADP	12	case
11	un	DET	12	det
12	climat	NOUN	9	obl:mod
13	tel	ADJ	12	amod
14	que	SCONJ	25	mark
15	la	DET	16	det
16	victoire	NOUN	25	nsubj
17	du	_	None	_
18	de	ADP	19	case
19	le	DET	19	det
20	Front	NOUN	16	nmod
21	populaire	ADJ	19	amod
22	dans	ADP	24	case
23	ces	DET	24	det
24	deux	NUM	24	nummod
25	provinces	NOUN	16	nmod
26	semble	VERB	13	ccomp:obj
27	très	ADV	27	advmod
28	suspecte	ADJ	25	xcomp:pred
29	.	PUNCT	9	punct