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:
Josep Maria Bach (foto), hasta ahora responsable de la división regional de Europa sur y vicepresidente de BASF Española, permanecerá como gerente del grupo en España hasta su jubilación, "dentro de seis meses", dijo ayer en la presentación de los resultados del grupo.
Postion	Tokenization
1	Josep
2	Maria
3	Bach
4	(
5	foto
6	)
7	,
8	hasta
9	ahora
10	responsable
11	de
12	la
13	división
14	regional
15	de
16	Europa
17	sur
18	y
19	vicepresidente
20	de
21	BASF
22	Española
23	,
24	permanecerá
25	como
26	gerente
27	del
28	grupo
29	en
30	España
31	hasta
32	su
33	jubilación
34	,
35	"
36	dentro
37	de
38	seis
39	meses
40	"
41	,
42	dijo
43	ayer
44	en
45	la
46	presentación
47	de
48	los
49	resultados
50	del
51	grupo
52	.
Position	Tokenization	UPOS	Head	Deprel
1	Josep	PROPN	24	nsubj
2	Maria	PROPN	1	flat
3	Bach	PROPN	1	flat
4	(	PUNCT	5	punct
5	foto	NOUN	1	appos
6	)	PUNCT	5	punct
7	,	PUNCT	10	punct
8	hasta	ADP	9	case
9	ahora	ADV	10	advmod
10	responsable	NOUN	1	appos
11	de	ADP	13	case
12	la	DET	13	det
13	división	NOUN	10	nmod
14	regional	ADJ	13	amod
15	de	ADP	16	case
16	Europa	PROPN	13	nmod
17	sur	PROPN	16	flat
18	y	CCONJ	19	cc
19	vicepresidente	NOUN	10	conj
20	de	ADP	21	case
21	BASF	PROPN	19	nmod
22	Española	PROPN	21	flat
23	,	PUNCT	10	punct
24	permanecerá	VERB	0	root
25	como	SCONJ	26	mark
26	gerente	NOUN	24	obj
27	del	ADP	28	case
28	grupo	NOUN	26	nmod
29	en	ADP	30	case
30	España	PROPN	26	nmod
31	hasta	ADP	33	case
32	su	DET	33	det
33	jubilación	NOUN	24	obl
34	,	PUNCT	36	punct
35	"	PUNCT	36	punct
36	dentro	ADV	33	advmod
37	de	ADP	39	case
38	seis	NUM	39	nummod
39	meses	NOUN	36	obl
40	"	PUNCT	36	punct
41	,	PUNCT	36	punct
42	dijo	VERB	24	parataxis
43	ayer	ADV	42	advmod
44	en	ADP	46	case
45	la	DET	46	det
46	presentación	NOUN	42	obl
47	de	ADP	49	case
48	los	DET	49	det
49	resultados	NOUN	46	nmod
50	del	ADP	51	case
51	grupo	NOUN	49	nmod
52	.	PUNCT	24	punct