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 pilote allemand établit alors le meilleur temps de la séance en 1 min 23 s 607 après avoir effectué une modification de la hauteur de caisse qui influe positivement sur les performances.
Postion	Tokenization
1	Le
2	pilote
3	allemand
4	établit
5	alors
6	le
7	meilleur
8	temps
9	de
10	la
11	séance
12	en
13	1
14	min
15	23
16	s
17	607
18	après
19	avoir
20	effectué
21	une
22	modification
23	de
24	la
25	hauteur
26	de
27	caisse
28	qui
29	influe
30	positivement
31	sur
32	les
33	performances
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	pilote	NOUN	4	nsubj
3	allemand	ADJ	2	amod
4	établit	VERB	0	root
5	alors	ADV	4	advmod
6	le	DET	8	det
7	meilleur	ADJ	8	amod
8	temps	NOUN	4	obj
9	de	ADP	11	case
10	la	DET	11	det
11	séance	NOUN	8	nmod
12	en	ADP	14	case
13	1	NUM	14	nummod
14	min	NOUN	4	obl:mod
15	23	NUM	16	nummod
16	s	NOUN	14	conj
17	607	NUM	16	nmod
18	après	ADP	20	mark
19	avoir	AUX	20	aux:tense
20	effectué	VERB	4	advcl
21	une	DET	22	det
22	modification	NOUN	20	obj
23	de	ADP	25	case
24	la	DET	25	det
25	hauteur	NOUN	22	nmod
26	de	ADP	27	case
27	caisse	NOUN	25	nmod
28	qui	PRON	29	nsubj
29	influe	VERB	22	acl:relcl
30	positivement	ADV	29	advmod
31	sur	ADP	33	case
32	les	DET	33	det
33	performances	NOUN	29	obl:mod
34	.	PUNCT	4	punct