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:
Leur avantage demeure dans la robustesse et la capacité de charge élevée, mais ils pâtissent d'une mobilité médiocre sur mauvais terrain, car ils n'ont que deux roues motrices pour la plupart.
Postion	Tokenization
1	Leur
2	avantage
3	demeure
4	dans
5	la
6	robustesse
7	et
8	la
9	capacité
10	de
11	charge
12	élevée
13	,
14	mais
15	ils
16	pâtissent
17	d'
18	une
19	mobilité
20	médiocre
21	sur
22	mauvais
23	terrain
24	,
25	car
26	ils
27	n'
28	ont
29	que
30	deux
31	roues
32	motrices
33	pour
34	la
35	plupart
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Leur	DET	2	det
2	avantage	NOUN	3	nsubj
3	demeure	VERB	0	root
4	dans	ADP	6	case
5	la	DET	6	det
6	robustesse	NOUN	3	obl:arg
7	et	CCONJ	9	cc
8	la	DET	9	det
9	capacité	NOUN	6	conj
10	de	ADP	11	case
11	charge	NOUN	9	nmod
12	élevée	ADJ	11	amod
13	,	PUNCT	16	punct
14	mais	CCONJ	16	cc
15	ils	PRON	16	nsubj
16	pâtissent	VERB	3	conj
17	d'	ADP	19	case
18	une	DET	19	det
19	mobilité	NOUN	16	obl:mod
20	médiocre	ADJ	19	amod
21	sur	ADP	23	case
22	mauvais	ADJ	23	amod
23	terrain	NOUN	19	nmod
24	,	PUNCT	28	punct
25	car	CCONJ	28	cc
26	ils	PRON	28	nsubj
27	n'	ADV	28	advmod
28	ont	VERB	16	conj
29	que	ADV	31	advmod
30	deux	NUM	31	nummod
31	roues	NOUN	28	obj
32	motrices	ADJ	31	amod
33	pour	ADP	35	case
34	la	DET	35	det
35	plupart	NOUN	28	obl:mod
36	.	PUNCT	3	punct