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:
Il a sauté sur Mourinho, en demandant à haute voix au Portugais de respecter les règles et de rester dans la zone de direction pour entraîneurs.
Postion	Tokenization
1	Il
2	a
3	sauté
4	sur
5	Mourinho
6	,
7	en
8	demandant
9	à
10	haute
11	voix
12	au
13	à
14	le
15	Portugais
16	de
17	respecter
18	les
19	règles
20	et
21	de
22	rester
23	dans
24	la
25	zone
26	de
27	direction
28	pour
29	entraîneurs
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	3	nsubj
2	a	AUX	3	aux:tense
3	sauté	VERB	0	root
4	sur	ADP	5	case
5	Mourinho	PROPN	3	obl:mod
6	,	PUNCT	8	punct
7	en	ADP	8	mark
8	demandant	VERB	3	advcl
9	à	ADP	11	case
10	haute	ADJ	11	amod
11	voix	NOUN	8	obl:mod
12	au	_	None	_
13	à	ADP	14	case
14	le	DET	14	det
15	Portugais	PROPN	8	obl:arg
16	de	ADP	16	mark
17	respecter	VERB	8	xcomp:obj
18	les	DET	18	det
19	règles	NOUN	16	obj
20	et	CCONJ	21	cc
21	de	ADP	21	mark
22	rester	VERB	16	conj
23	dans	ADP	24	case
24	la	DET	24	det
25	zone	NOUN	21	obl:arg
26	de	ADP	26	case
27	direction	NOUN	24	nmod
28	pour	ADP	28	case
29	entraîneurs	NOUN	24	nmod
30	.	PUNCT	3	punct