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:
j'ai eu besoin de faire rénover mes serrures à la fois à titre particulier et professionel, et "Actif Dépannage" a, dans les deux cas été à la hauteur.
Postion	Tokenization
1	j'
2	ai
3	eu
4	besoin
5	de
6	faire
7	rénover
8	mes
9	serrures
10	à
11	la
12	fois
13	à
14	titre
15	particulier
16	et
17	professionel
18	,
19	et
20	"
21	Actif
22	Dépannage
23	"
24	a
25	,
26	dans
27	les
28	deux
29	cas
30	été
31	à
32	la
33	hauteur
34	.
Position	Tokenization	UPOS	Head	Deprel
1	j'	PRON	3	nsubj
2	ai	AUX	3	aux:tense
3	eu	VERB	0	root
4	besoin	NOUN	3	obj:lvc
5	de	ADP	7	mark
6	faire	AUX	7	aux:caus
7	rénover	VERB	4	xcomp:obl
8	mes	DET	9	det
9	serrures	NOUN	7	obj
10	à	ADP	14	advmod
11	la	DET	10	fixed
12	fois	NOUN	10	fixed
13	à	ADP	14	case
14	titre	NOUN	7	obl:mod
15	particulier	ADJ	14	amod
16	et	CCONJ	17	cc
17	professionel	ADJ	15	conj
18	,	PUNCT	33	punct
19	et	CCONJ	33	cc
20	"	PUNCT	21	punct
21	Actif	PROPN	33	nsubj
22	Dépannage	PROPN	21	flat:name
23	"	PUNCT	21	punct
24	a	AUX	33	aux:tense
25	,	PUNCT	29	punct
26	dans	ADP	29	case
27	les	DET	29	det
28	deux	NUM	29	nummod
29	cas	NOUN	33	obl:mod
30	été	AUX	33	cop
31	à	ADP	33	case
32	la	DET	33	det
33	hauteur	NOUN	3	conj
34	.	PUNCT	3	punct