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:
Son affrontement, d'abord verbal puis physique, à la TV et sur un ring, avec Jerry Lawler (champion de catch qui lui aussi joue son propre rôle dans le film).
Postion	Tokenization
1	Son
2	affrontement
3	,
4	d'
5	abord
6	verbal
7	puis
8	physique
9	,
10	à
11	la
12	TV
13	et
14	sur
15	un
16	ring
17	,
18	avec
19	Jerry
20	Lawler
21	(
22	champion
23	de
24	catch
25	qui
26	lui
27	aussi
28	joue
29	son
30	propre
31	rôle
32	dans
33	le
34	film
35	)
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Son	DET	2	det
2	affrontement	NOUN	0	root
3	,	PUNCT	6	punct
4	d'	ADP	6	advmod
5	abord	NOUN	4	fixed
6	verbal	ADJ	2	amod
7	puis	ADV	8	cc
8	physique	ADJ	6	conj
9	,	PUNCT	12	punct
10	à	ADP	12	case
11	la	DET	12	det
12	TV	NOUN	2	nmod
13	et	CCONJ	16	cc
14	sur	ADP	16	case
15	un	DET	16	det
16	ring	NOUN	12	conj
17	,	PUNCT	19	punct
18	avec	ADP	19	case
19	Jerry	PROPN	2	nmod
20	Lawler	PROPN	19	flat:name
21	(	PUNCT	22	punct
22	champion	NOUN	19	appos
23	de	ADP	24	case
24	catch	NOUN	22	nmod
25	qui	PRON	28	nsubj
26	lui	PRON	28	obl:mod
27	aussi	ADV	26	advmod
28	joue	VERB	22	acl:relcl
29	son	DET	31	det
30	propre	ADJ	31	amod
31	rôle	NOUN	28	obj
32	dans	ADP	34	case
33	le	DET	34	det
34	film	NOUN	28	obl:mod
35	)	PUNCT	22	punct
36	.	PUNCT	2	punct