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 y a eu aussi des équipements spécifiques pour véhicules de secours d'urgence et pour véhicules de réanimation et de chirurgie avec suspension hydropneumatique à l'arrière.
Postion	Tokenization
1	Il
2	y
3	a
4	eu
5	aussi
6	des
7	équipements
8	spécifiques
9	pour
10	véhicules
11	de
12	secours
13	d'
14	urgence
15	et
16	pour
17	véhicules
18	de
19	réanimation
20	et
21	de
22	chirurgie
23	avec
24	suspension
25	hydropneumatique
26	à
27	l'
28	arrière
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	4	expl:subj
2	y	PRON	4	dep:comp
3	a	AUX	4	aux:tense
4	eu	VERB	0	root
5	aussi	ADV	4	advmod
6	des	DET	7	det
7	équipements	NOUN	4	obj
8	spécifiques	ADJ	7	amod
9	pour	ADP	10	case
10	véhicules	NOUN	7	nmod
11	de	ADP	12	case
12	secours	NOUN	10	nmod
13	d'	ADP	14	case
14	urgence	NOUN	12	nmod
15	et	CCONJ	17	cc
16	pour	ADP	17	case
17	véhicules	NOUN	10	conj
18	de	ADP	19	case
19	réanimation	NOUN	17	nmod
20	et	CCONJ	22	cc
21	de	ADP	22	case
22	chirurgie	NOUN	19	conj
23	avec	ADP	24	case
24	suspension	NOUN	7	nmod
25	hydropneumatique	ADJ	24	amod
26	à	ADP	28	case
27	l'	DET	28	det
28	arrière	NOUN	24	nmod
29	.	PUNCT	4	punct