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:
Je sens qu'entre ça et les films de médecins et scientifiques fous que nous avons déjà vus, nous pourrions emprunter un autre chemin pour l'origine.
Postion	Tokenization
1	Je
2	sens
3	qu'
4	entre
5	ça
6	et
7	les
8	films
9	de
10	médecins
11	et
12	scientifiques
13	fous
14	que
15	nous
16	avons
17	déjà
18	vus
19	,
20	nous
21	pourrions
22	emprunter
23	un
24	autre
25	chemin
26	pour
27	l'
28	origine
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Je	PRON	2	nsubj
2	sens	VERB	0	root
3	qu'	SCONJ	21	mark
4	entre	ADP	5	case
5	ça	PRON	21	obl:mod
6	et	CCONJ	8	cc
7	les	DET	8	det
8	films	NOUN	5	conj
9	de	ADP	10	case
10	médecins	NOUN	8	nmod
11	et	CCONJ	12	cc
12	scientifiques	NOUN	10	conj
13	fous	ADJ	12	amod
14	que	PRON	18	obj
15	nous	PRON	18	nsubj
16	avons	AUX	18	aux:tense
17	déjà	ADV	18	advmod
18	vus	VERB	8	acl:relcl
19	,	PUNCT	5	punct
20	nous	PRON	21	nsubj
21	pourrions	VERB	2	ccomp:obj
22	emprunter	VERB	21	xcomp:obj
23	un	DET	25	det
24	autre	ADJ	25	amod
25	chemin	NOUN	22	obj
26	pour	ADP	28	case
27	l'	DET	28	det
28	origine	NOUN	22	obl:mod
29	.	PUNCT	2	punct