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:
Pandit abandonna sa voiture et continua à pied, dépassant l'attroupement pour se diriger vers le sentier qui se dandinait au bas de la colline.
Postion	Tokenization
1	Pandit
2	abandonna
3	sa
4	voiture
5	et
6	continua
7	à
8	pied
9	,
10	dépassant
11	l'
12	attroupement
13	pour
14	se
15	diriger
16	vers
17	le
18	sentier
19	qui
20	se
21	dandinait
22	au
23	à
24	le
25	bas
26	de
27	la
28	colline
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Pandit	PROPN	2	nsubj
2	abandonna	VERB	0	root
3	sa	DET	4	det
4	voiture	NOUN	2	obj
5	et	CCONJ	6	cc
6	continua	VERB	2	conj
7	à	ADP	8	case
8	pied	NOUN	6	obl:mod
9	,	PUNCT	10	punct
10	dépassant	VERB	2	advcl
11	l'	DET	12	det
12	attroupement	NOUN	10	obj
13	pour	ADP	15	mark
14	se	PRON	15	dep:comp
15	diriger	VERB	10	advcl
16	vers	ADP	18	case
17	le	DET	18	det
18	sentier	NOUN	15	obl:mod
19	qui	PRON	21	nsubj
20	se	PRON	21	dep:comp
21	dandinait	VERB	18	acl:relcl
22	au	_	None	_
23	à	ADP	24	case
24	le	DET	24	det
25	bas	NOUN	21	obl:mod
26	de	ADP	27	case
27	la	DET	27	det
28	colline	NOUN	24	nmod
29	.	PUNCT	2	punct