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 termine l'année sur de meilleures impressions avec une 5e place à Kranjska Gora et une 7e à Lenzerheide pour terminer à la 12e place du classement du slalom.
Postion	Tokenization
1	Il
2	termine
3	l'
4	année
5	sur
6	de
7	meilleures
8	impressions
9	avec
10	une
11	5e
12	place
13	à
14	Kranjska
15	Gora
16	et
17	une
18	7e
19	à
20	Lenzerheide
21	pour
22	terminer
23	à
24	la
25	12e
26	place
27	du
28	de
29	le
30	classement
31	du
32	de
33	le
34	slalom
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	termine	VERB	0	root
3	l'	DET	4	det
4	année	NOUN	2	obj
5	sur	ADP	8	case
6	de	DET	8	det
7	meilleures	ADJ	8	amod
8	impressions	NOUN	2	obl:mod
9	avec	ADP	12	case
10	une	DET	12	det
11	5e	ADJ	12	amod
12	place	NOUN	2	obl:mod
13	à	ADP	14	case
14	Kranjska	PROPN	12	nmod
15	Gora	PROPN	14	flat:name
16	et	CCONJ	18	cc
17	une	DET	18	det
18	7e	ADJ	12	conj
19	à	ADP	20	case
20	Lenzerheide	PROPN	18	nmod
21	pour	ADP	22	mark
22	terminer	VERB	2	advcl
23	à	ADP	26	case
24	la	DET	26	det
25	12e	ADJ	26	amod
26	place	NOUN	22	obl:arg
27	du	_	None	_
28	de	ADP	29	case
29	le	DET	29	det
30	classement	NOUN	26	nmod
31	du	_	None	_
32	de	ADP	32	case
33	le	DET	32	det
34	slalom	NOUN	29	nmod
35	.	PUNCT	2	punct