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:
Le trajet le plus rapide effectué entre Lakehurst et Francfort les 10 et 11 août 1936 a permis de parcourir 6 732 km en 43,02 h, soit une moyenne de 157 km/h grâce à des vents particulièrement favorables.
Postion	Tokenization
1	Le
2	trajet
3	le
4	plus
5	rapide
6	effectué
7	entre
8	Lakehurst
9	et
10	Francfort
11	les
12	10
13	et
14	11
15	août
16	1936
17	a
18	permis
19	de
20	parcourir
21	6 732
22	km
23	en
24	43,02
25	h
26	,
27	soit
28	une
29	moyenne
30	de
31	157
32	km/h
33	grâce
34	à
35	des
36	vents
37	particulièrement
38	favorables
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	trajet	NOUN	18	nsubj
3	le	DET	5	advmod
4	plus	ADV	3	fixed
5	rapide	ADJ	2	amod
6	effectué	VERB	2	acl
7	entre	ADP	8	case
8	Lakehurst	PROPN	6	obl:mod
9	et	CCONJ	10	cc
10	Francfort	PROPN	8	conj
11	les	DET	12	det
12	10	NUM	6	obl:mod
13	et	CCONJ	14	cc
14	11	NUM	12	conj
15	août	NOUN	12	nmod
16	1936	NUM	15	nmod
17	a	AUX	18	aux:tense
18	permis	VERB	0	root
19	de	ADP	20	mark
20	parcourir	VERB	18	xcomp:obj
21	6 732	NUM	22	nummod
22	km	NOUN	20	obj
23	en	ADP	25	case
24	43,02	NUM	25	nummod
25	h	NOUN	22	nmod
26	,	PUNCT	29	punct
27	soit	ADV	29	advmod
28	une	DET	29	det
29	moyenne	NOUN	22	appos
30	de	ADP	32	case
31	157	NUM	32	nummod
32	km/h	NOUN	29	nmod
33	grâce	NOUN	36	case
34	à	ADP	33	fixed
35	des	DET	36	det
36	vents	NOUN	20	obl:mod
37	particulièrement	ADV	38	advmod
38	favorables	ADJ	36	amod
39	.	PUNCT	18	punct