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:
Une clinique, ainsi qu'une avenue de Marseille partant de la place Castellane en direction de l'ancienne gare du Prado et qui longe le parc du XXVIe centenaire, portent son nom.
Postion	Tokenization
1	Une
2	clinique
3	,
4	ainsi
5	qu'
6	une
7	avenue
8	de
9	Marseille
10	partant
11	de
12	la
13	place
14	Castellane
15	en
16	direction
17	de
18	l'
19	ancienne
20	gare
21	du
22	de
23	le
24	Prado
25	et
26	qui
27	longe
28	le
29	parc
30	du
31	de
32	le
33	XXVIe
34	centenaire
35	,
36	portent
37	son
38	nom
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Une	DET	2	det
2	clinique	NOUN	34	nsubj
3	,	PUNCT	7	punct
4	ainsi	ADV	7	cc
5	qu'	SCONJ	4	fixed
6	une	DET	7	det
7	avenue	NOUN	2	conj
8	de	ADP	9	case
9	Marseille	PROPN	7	nmod
10	partant	VERB	7	acl
11	de	ADP	13	case
12	la	DET	13	det
13	place	NOUN	10	obl:arg
14	Castellane	PROPN	13	appos
15	en	ADP	16	case
16	direction	NOUN	10	obl:mod
17	de	ADP	20	case
18	l'	DET	20	det
19	ancienne	ADJ	20	amod
20	gare	NOUN	16	nmod
21	du	_	None	_
22	de	ADP	23	case
23	le	DET	23	det
24	Prado	PROPN	20	nmod
25	et	CCONJ	26	cc
26	qui	PRON	26	nsubj
27	longe	VERB	10	conj
28	le	DET	28	det
29	parc	NOUN	26	obj
30	du	_	None	_
31	de	ADP	32	case
32	le	DET	32	det
33	XXVIe	ADJ	32	amod
34	centenaire	NOUN	28	nmod
35	,	PUNCT	7	punct
36	portent	VERB	0	root
37	son	DET	36	det
38	nom	NOUN	34	obj
39	.	PUNCT	34	punct