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 marteau à réflexes est utilisé aussi pour rechercher les réponses idio-musculaires et dans la percussion thoracique ou abdominale, lors de l'examen physique général.
Postion	Tokenization
1	Le
2	marteau
3	à
4	réflexes
5	est
6	utilisé
7	aussi
8	pour
9	rechercher
10	les
11	réponses
12	idio-musculaires
13	et
14	dans
15	la
16	percussion
17	thoracique
18	ou
19	abdominale
20	,
21	lors
22	de
23	l'
24	examen
25	physique
26	général
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	marteau	NOUN	6	nsubj:pass
3	à	ADP	4	case
4	réflexes	NOUN	2	nmod
5	est	AUX	6	aux:pass
6	utilisé	VERB	0	root
7	aussi	ADV	6	advmod
8	pour	ADP	9	mark
9	rechercher	VERB	6	advcl
10	les	DET	11	det
11	réponses	NOUN	9	obj
12	idio-musculaires	ADJ	11	amod
13	et	CCONJ	16	cc
14	dans	ADP	16	case
15	la	DET	16	det
16	percussion	NOUN	9	conj
17	thoracique	ADJ	16	amod
18	ou	CCONJ	19	cc
19	abdominale	ADJ	17	conj
20	,	PUNCT	21	punct
21	lors	ADV	6	advmod
22	de	ADP	24	case
23	l'	DET	24	det
24	examen	NOUN	21	obl:arg
25	physique	ADJ	24	amod
26	général	ADJ	24	amod
27	.	PUNCT	6	punct