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:
Pius est qualifié pour les Jeux olympiques de Hong Kong avec Nobless M après qu'Ideo du Thot, le cheval de Beat Mändli, se soit blessé.
Postion	Tokenization
1	Pius
2	est
3	qualifié
4	pour
5	les
6	Jeux
7	olympiques
8	de
9	Hong
10	Kong
11	avec
12	Nobless
13	M
14	après
15	qu'
16	Ideo
17	du
18	de
19	le
20	Thot
21	,
22	le
23	cheval
24	de
25	Beat
26	Mändli
27	,
28	se
29	soit
30	blessé
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Pius	PROPN	3	nsubj
2	est	AUX	3	aux:tense
3	qualifié	VERB	0	root
4	pour	ADP	6	case
5	les	DET	6	det
6	Jeux	NOUN	3	obl:mod
7	olympiques	ADJ	6	amod
8	de	ADP	9	case
9	Hong	PROPN	6	nmod
10	Kong	PROPN	9	flat:name
11	avec	ADP	12	case
12	Nobless	PROPN	3	obl:mod
13	M	SYM	12	flat:name
14	après	ADP	29	mark
15	qu'	SCONJ	29	mark
16	Ideo	PROPN	29	nsubj
17	du	_	None	_
18	de	ADP	19	case
19	le	DET	19	det
20	Thot	PROPN	16	nmod
21	,	PUNCT	22	punct
22	le	DET	22	det
23	cheval	NOUN	16	appos
24	de	ADP	24	case
25	Beat	PROPN	22	nmod
26	Mändli	PROPN	24	flat:name
27	,	PUNCT	22	punct
28	se	PRON	29	obj
29	soit	AUX	29	aux:tense
30	blessé	VERB	3	advcl
31	.	PUNCT	3	punct