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:
Par Par Lay est un humoriste birman, plusieurs fois emprisonné pour s'être opposé à la junte au pouvoir en Birmanie.
Postion	Tokenization
1	Par
2	Par
3	Lay
4	est
5	un
6	humoriste
7	birman
8	,
9	plusieurs
10	fois
11	emprisonné
12	pour
13	s'
14	être
15	opposé
16	à
17	la
18	junte
19	au
20	à
21	le
22	pouvoir
23	en
24	Birmanie
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Par	PROPN	6	nsubj
2	Par	PROPN	1	flat:name
3	Lay	PROPN	2	flat:name
4	est	AUX	6	cop
5	un	DET	6	det
6	humoriste	NOUN	0	root
7	birman	ADJ	6	amod
8	,	PUNCT	11	punct
9	plusieurs	DET	10	det
10	fois	NOUN	11	obl:mod
11	emprisonné	VERB	6	acl
12	pour	ADP	15	mark
13	s'	PRON	15	dep:comp
14	être	AUX	15	aux:tense
15	opposé	VERB	11	advcl
16	à	ADP	18	case
17	la	DET	18	det
18	junte	NOUN	15	obl:arg
19	au	_	None	_
20	à	ADP	21	case
21	le	DET	21	det
22	pouvoir	NOUN	18	nmod
23	en	ADP	23	case
24	Birmanie	PROPN	21	nmod
25	.	PUNCT	6	punct