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:
La discussion menée samedi à Fribourg par les délégués réunis en assemblée montre que le succès électoral n'engendre pas forcément la bonne humeur (lire ci-dessous).
Postion	Tokenization
1	La
2	discussion
3	menée
4	samedi
5	à
6	Fribourg
7	par
8	les
9	délégués
10	réunis
11	en
12	assemblée
13	montre
14	que
15	le
16	succès
17	électoral
18	n'
19	engendre
20	pas
21	forcément
22	la
23	bonne
24	humeur
25	(
26	lire
27	ci-dessous
28	)
29	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	discussion	NOUN	13	nsubj
3	menée	VERB	2	acl
4	samedi	NOUN	2	nmod
5	à	ADP	6	case
6	Fribourg	PROPN	2	nmod
7	par	ADP	9	case
8	les	DET	9	det
9	délégués	NOUN	2	nmod
10	réunis	VERB	9	acl
11	en	ADP	12	case
12	assemblée	NOUN	9	nmod
13	montre	VERB	0	root
14	que	SCONJ	19	mark
15	le	DET	16	det
16	succès	NOUN	19	nsubj
17	électoral	ADJ	16	amod
18	n'	ADV	19	advmod
19	engendre	VERB	13	ccomp:obj
20	pas	ADV	19	advmod
21	forcément	ADV	19	advmod
22	la	DET	24	det
23	bonne	ADJ	24	amod
24	humeur	NOUN	19	obj
25	(	PUNCT	26	punct
26	lire	VERB	19	parataxis
27	ci-dessous	ADV	26	advmod
28	)	PUNCT	26	punct
29	.	PUNCT	13	punct