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:
Aventis, que pertenecerá al 50% a cada uno de los grupos y tendrá su cuartel general en Estrasburgo, ciudad francesa fronteriza con Alemania, sumará unas ventas de 2,8 billones de pesetas y dispondrá de 95.000 empleados en todo el mundo.
Postion	Tokenization
1	Aventis
2	,
3	que
4	pertenecerá
5	al
6	50%
7	a
8	cada
9	uno
10	de
11	los
12	grupos
13	y
14	tendrá
15	su
16	cuartel
17	general
18	en
19	Estrasburgo
20	,
21	ciudad
22	francesa
23	fronteriza
24	con
25	Alemania
26	,
27	sumará
28	unas
29	ventas
30	de
31	2,8
32	billones
33	de
34	pesetas
35	y
36	dispondrá
37	de
38	95.000
39	empleados
40	en
41	todo
42	el
43	mundo
44	.
Position	Tokenization	UPOS	Head	Deprel
1	Aventis	PROPN	27	nsubj
2	,	PUNCT	4	punct
3	que	PRON	4	nsubj
4	pertenecerá	VERB	1	acl
5	al	ADP	6	case
6	50%	SYM	4	advmod
7	a	ADP	9	case
8	cada	DET	9	det
9	uno	PRON	4	obj
10	de	ADP	12	case
11	los	DET	12	det
12	grupos	NOUN	9	nmod
13	y	CCONJ	14	cc
14	tendrá	VERB	4	conj
15	su	DET	16	det
16	cuartel	NOUN	14	obj
17	general	ADJ	16	amod
18	en	ADP	19	case
19	Estrasburgo	PROPN	14	obl
20	,	PUNCT	21	punct
21	ciudad	NOUN	19	appos
22	francesa	ADJ	21	amod
23	fronteriza	ADJ	21	amod
24	con	ADP	25	case
25	Alemania	PROPN	23	nmod
26	,	PUNCT	4	punct
27	sumará	VERB	0	root
28	unas	DET	29	det
29	ventas	NOUN	27	obj
30	de	ADP	32	case
31	2,8	NUM	32	nummod
32	billones	NOUN	29	nmod
33	de	ADP	34	case
34	pesetas	NOUN	32	nmod
35	y	CCONJ	36	cc
36	dispondrá	VERB	27	conj
37	de	ADP	39	case
38	95.000	NUM	39	nummod
39	empleados	NOUN	36	obj
40	en	ADP	43	case
41	todo	DET	42	det
42	el	DET	43	det
43	mundo	NOUN	36	obl
44	.	PUNCT	27	punct