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:
Deux territoires donc, et si l'un est mental et l'autre géographique, l'engagement sensible est leur point d'achoppement.
Postion	Tokenization
1	Deux
2	territoires
3	donc
4	,
5	et
6	si
7	l'
8	un
9	est
10	mental
11	et
12	l'
13	autre
14	géographique
15	,
16	l'
17	engagement
18	sensible
19	est
20	leur
21	point
22	d'
23	achoppement
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Deux	NUM	2	nummod
2	territoires	NOUN	21	parataxis
3	donc	ADV	2	advmod
4	,	PUNCT	2	punct
5	et	CCONJ	21	cc
6	si	SCONJ	10	mark
7	l'	DET	8	det
8	un	PRON	10	nsubj
9	est	AUX	10	cop
10	mental	ADJ	21	advcl
11	et	CCONJ	14	cc
12	l'	DET	13	det
13	autre	PRON	14	orphan
14	géographique	ADJ	10	conj
15	,	PUNCT	10	punct
16	l'	DET	17	det
17	engagement	NOUN	21	nsubj
18	sensible	ADJ	17	amod
19	est	AUX	21	cop
20	leur	DET	21	det
21	point	NOUN	0	root
22	d'	ADP	23	case
23	achoppement	NOUN	21	nmod
24	.	PUNCT	21	punct