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:
Stottlemeyer a également trouvé Sharona Fleming et l'a engagée comme infirmière pour aider Monk à récupérer d'un état catatonique provoqué par la perte de Trudy.
Postion	Tokenization
1	Stottlemeyer
2	a
3	également
4	trouvé
5	Sharona
6	Fleming
7	et
8	l'
9	a
10	engagée
11	comme
12	infirmière
13	pour
14	aider
15	Monk
16	à
17	récupérer
18	d'
19	un
20	état
21	catatonique
22	provoqué
23	par
24	la
25	perte
26	de
27	Trudy
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Stottlemeyer	PROPN	4	nsubj
2	a	AUX	4	aux:tense
3	également	ADV	4	advmod
4	trouvé	VERB	0	root
5	Sharona	PROPN	4	obj
6	Fleming	PROPN	5	flat:name
7	et	CCONJ	10	cc
8	l'	PRON	10	obj
9	a	AUX	10	aux:tense
10	engagée	VERB	4	conj
11	comme	ADP	12	case
12	infirmière	NOUN	10	obl:mod
13	pour	ADP	14	mark
14	aider	VERB	10	advcl
15	Monk	PROPN	14	obj
16	à	ADP	17	mark
17	récupérer	VERB	14	xcomp:obl
18	d'	ADP	20	case
19	un	DET	20	det
20	état	NOUN	17	obl:arg
21	catatonique	ADJ	20	amod
22	provoqué	VERB	20	acl
23	par	ADP	25	case
24	la	DET	25	det
25	perte	NOUN	22	obl:agent
26	de	ADP	27	case
27	Trudy	PROPN	25	nmod
28	.	PUNCT	4	punct