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:
Après être allé au cinéma voir un film de Reiner Wolfcatsle, Grand-Père fait une crise cardiaque et se retrouve à l'hôpital.
Postion	Tokenization
1	Après
2	être
3	allé
4	au
5	à
6	le
7	cinéma
8	voir
9	un
10	film
11	de
12	Reiner
13	Wolfcatsle
14	,
15	Grand-Père
16	fait
17	une
18	crise
19	cardiaque
20	et
21	se
22	retrouve
23	à
24	l'
25	hôpital
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	3	mark
2	être	AUX	3	aux:tense
3	allé	VERB	15	advcl
4	au	_	None	_
5	à	ADP	6	case
6	le	DET	6	det
7	cinéma	NOUN	3	obl:arg
8	voir	VERB	3	xcomp:obj
9	un	DET	9	det
10	film	NOUN	7	obj
11	de	ADP	11	case
12	Reiner	PROPN	9	nmod
13	Wolfcatsle	PROPN	11	flat:name
14	,	PUNCT	3	punct
15	Grand-Père	NOUN	15	nsubj
16	fait	VERB	0	root
17	une	DET	17	det
18	crise	NOUN	15	obj
19	cardiaque	ADJ	17	amod
20	et	CCONJ	21	cc
21	se	PRON	21	expl:pass
22	retrouve	VERB	15	conj
23	à	ADP	24	case
24	l'	DET	24	det
25	hôpital	NOUN	21	obl:arg
26	.	PUNCT	15	punct