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:
Les Lakers ont un bilan de 42 victoires et 11 défaites avant la pause du All-Star Week-end, les plaçant juste devant les Cavaliers de LeBron James.
Postion	Tokenization
1	Les
2	Lakers
3	ont
4	un
5	bilan
6	de
7	42
8	victoires
9	et
10	11
11	défaites
12	avant
13	la
14	pause
15	du
16	de
17	le
18	All-Star
19	Week-end
20	,
21	les
22	plaçant
23	juste
24	devant
25	les
26	Cavaliers
27	de
28	LeBron
29	James
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	Lakers	PROPN	3	nsubj
3	ont	VERB	0	root
4	un	DET	5	det
5	bilan	NOUN	3	obj
6	de	ADP	8	case
7	42	NUM	8	nummod
8	victoires	NOUN	5	nmod
9	et	CCONJ	11	cc
10	11	NUM	11	nummod
11	défaites	NOUN	8	conj
12	avant	ADP	14	case
13	la	DET	14	det
14	pause	NOUN	3	obl:mod
15	du	_	None	_
16	de	ADP	17	case
17	le	DET	17	det
18	All-Star	X	14	nmod
19	Week-end	X	17	flat:foreign
20	,	PUNCT	21	punct
21	les	PRON	21	obj
22	plaçant	VERB	3	advcl
23	juste	ADV	25	advmod
24	devant	ADP	25	case
25	les	DET	25	det
26	Cavaliers	NOUN	21	obl:mod
27	de	ADP	27	case
28	LeBron	PROPN	25	nmod
29	James	PROPN	27	flat:name
30	.	PUNCT	3	punct