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:
En 1989, le Syndicat des transports parisiens (STP), ancêtre du Syndicat des transports d'Île-de-France (STIF), désirait mettre deux rocades de transports en commun autour de la capitale.
Postion	Tokenization
1	En
2	1989
3	,
4	le
5	Syndicat
6	des
7	de
8	les
9	transports
10	parisiens
11	(
12	STP
13	)
14	,
15	ancêtre
16	du
17	de
18	le
19	Syndicat
20	des
21	de
22	les
23	transports
24	d'
25	Île-de-France
26	(
27	STIF
28	)
29	,
30	désirait
31	mettre
32	deux
33	rocades
34	de
35	transports
36	en
37	commun
38	autour
39	de
40	la
41	capitale
42	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	1989	NUM	27	obl:mod
3	,	PUNCT	2	punct
4	le	DET	5	det
5	Syndicat	NOUN	27	nsubj
6	des	_	None	_
7	de	ADP	8	case
8	les	DET	8	det
9	transports	NOUN	5	nmod
10	parisiens	ADJ	8	amod
11	(	PUNCT	11	punct
12	STP	PROPN	5	appos
13	)	PUNCT	11	punct
14	,	PUNCT	14	punct
15	ancêtre	NOUN	5	appos
16	du	_	None	_
17	de	ADP	17	case
18	le	DET	17	det
19	Syndicat	NOUN	14	nmod
20	des	_	None	_
21	de	ADP	20	case
22	les	DET	20	det
23	transports	NOUN	17	nmod
24	d'	ADP	22	case
25	Île-de-France	PROPN	20	nmod
26	(	PUNCT	24	punct
27	STIF	PROPN	17	appos
28	)	PUNCT	24	punct
29	,	PUNCT	14	punct
30	désirait	VERB	0	root
31	mettre	VERB	27	xcomp:obj
32	deux	NUM	30	nummod
33	rocades	NOUN	28	obj
34	de	ADP	32	case
35	transports	NOUN	30	nmod
36	en	ADP	32	advmod
37	commun	ADJ	33	fixed
38	autour	ADV	28	advmod
39	de	ADP	38	case
40	la	DET	38	det
41	capitale	NOUN	35	obl:arg
42	.	PUNCT	27	punct