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:
Puis, il dirige et co-scénarise Comment se débarrasser de son patron, une comédie féministe avec Dolly Parton, Jane Fonda, Lily Tomlin et Dabney Coleman.
Postion	Tokenization
1	Puis
2	,
3	il
4	dirige
5	et
6	co-scénarise
7	Comment
8	se
9	débarrasser
10	de
11	son
12	patron
13	,
14	une
15	comédie
16	féministe
17	avec
18	Dolly
19	Parton
20	,
21	Jane
22	Fonda
23	,
24	Lily
25	Tomlin
26	et
27	Dabney
28	Coleman
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Puis	ADV	4	cc
2	,	PUNCT	1	punct
3	il	PRON	4	nsubj
4	dirige	VERB	0	root
5	et	CCONJ	6	cc
6	co-scénarise	VERB	4	conj
7	Comment	ADV	9	advmod
8	se	PRON	9	obj
9	débarrasser	VERB	6	obj
10	de	ADP	12	case
11	son	DET	12	det
12	patron	NOUN	9	obl:arg
13	,	PUNCT	15	punct
14	une	DET	15	det
15	comédie	NOUN	9	appos
16	féministe	ADJ	15	amod
17	avec	ADP	18	case
18	Dolly	PROPN	15	nmod
19	Parton	PROPN	18	flat:name
20	,	PUNCT	21	punct
21	Jane	PROPN	18	conj
22	Fonda	PROPN	21	flat:name
23	,	PUNCT	24	punct
24	Lily	PROPN	18	conj
25	Tomlin	PROPN	24	flat:name
26	et	CCONJ	27	cc
27	Dabney	PROPN	18	conj
28	Coleman	PROPN	27	flat:name
29	.	PUNCT	4	punct