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:
Quels problèmes de nos clients nos produits peuvent-il résoudre plus économiquement ou plus adéquatement que les produits des autres manufacturiers ?
Postion	Tokenization
1	Quels
2	problèmes
3	de
4	nos
5	clients
6	nos
7	produits
8	peuvent
9	-il
10	résoudre
11	plus
12	économiquement
13	ou
14	plus
15	adéquatement
16	que
17	les
18	produits
19	des
20	de
21	les
22	autres
23	manufacturiers
24	?
Position	Tokenization	UPOS	Head	Deprel
1	Quels	DET	2	det
2	problèmes	NOUN	10	obj
3	de	ADP	5	case
4	nos	DET	5	det
5	clients	NOUN	2	nmod
6	nos	DET	7	det
7	produits	NOUN	8	nsubj
8	peuvent	VERB	0	root
9	-il	PRON	8	expl:subj
10	résoudre	VERB	8	xcomp:obj
11	plus	ADV	12	advmod
12	économiquement	ADV	10	advmod
13	ou	CCONJ	15	cc
14	plus	ADV	15	advmod
15	adéquatement	ADV	12	conj
16	que	SCONJ	18	case
17	les	DET	18	det
18	produits	NOUN	11	obj
19	des	_	None	_
20	de	ADP	22	case
21	les	DET	22	det
22	autres	ADJ	22	amod
23	manufacturiers	NOUN	18	nmod
24	?	PUNCT	8	punct