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:
La respuesta vino de la mano de un grupo de investigadores del departamento de Medicina experimental del instituto Max Planck de Gottingen (República Federal Alemana): lógicamente, las moléculas de los anticuerpos no están almacenadas o dispuestas para su producción en serie en el mismo instante en que se precisan; sino que la información necesaria para su fabricación se encuentra grabada de antemano en lo que algunos llaman memoria genética.
Postion	Tokenization
1	La
2	respuesta
3	vino
4	de
5	la
6	mano
7	de
8	un
9	grupo
10	de
11	investigadores
12	del
13	departamento
14	de
15	Medicina
16	experimental
17	del
18	instituto
19	Max
20	Planck
21	de
22	Gottingen
23	(
24	República
25	Federal
26	Alemana
27	)
28	:
29	lógicamente
30	,
31	las
32	moléculas
33	de
34	los
35	anticuerpos
36	no
37	están
38	almacenadas
39	o
40	dispuestas
41	para
42	su
43	producción
44	en
45	serie
46	en
47	el
48	mismo
49	instante
50	en
51	que
52	se
53	precisan
54	;
55	sino
56	que
57	la
58	información
59	necesaria
60	para
61	su
62	fabricación
63	se
64	encuentra
65	grabada
66	de
67	antemano
68	en
69	lo
70	que
71	algunos
72	llaman
73	memoria
74	genética
75	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	respuesta	NOUN	3	nsubj
3	vino	VERB	0	root
4	de	ADP	6	case
5	la	DET	6	det
6	mano	NOUN	3	obl
7	de	ADP	9	case
8	un	DET	9	det
9	grupo	NOUN	6	nmod
10	de	ADP	11	case
11	investigadores	NOUN	9	nmod
12	del	ADP	13	case
13	departamento	NOUN	11	nmod
14	de	ADP	15	case
15	Medicina	PROPN	13	nmod
16	experimental	PROPN	15	flat
17	del	ADP	18	case
18	instituto	NOUN	13	nmod
19	Max	PROPN	18	appos
20	Planck	PROPN	19	flat
21	de	ADP	22	case
22	Gottingen	PROPN	19	nmod
23	(	PUNCT	24	punct
24	República	PROPN	22	flat
25	Federal	PROPN	24	flat
26	Alemana	PROPN	24	flat
27	)	PUNCT	24	punct
28	:	PUNCT	3	punct
29	lógicamente	ADV	38	advmod
30	,	PUNCT	29	punct
31	las	DET	32	det
32	moléculas	NOUN	38	nsubj
33	de	ADP	35	case
34	los	DET	35	det
35	anticuerpos	NOUN	32	nmod
36	no	ADV	38	advmod
37	están	AUX	38	cop
38	almacenadas	ADJ	3	advcl
39	o	CCONJ	40	cc
40	dispuestas	ADJ	38	conj
41	para	ADP	43	case
42	su	DET	43	det
43	producción	NOUN	38	obl
44	en	ADP	45	case
45	serie	NOUN	43	nmod
46	en	ADP	49	case
47	el	DET	49	det
48	mismo	DET	47	det
49	instante	NOUN	38	obl
50	en	ADP	51	case
51	que	PRON	53	obl
52	se	PRON	53	expl:pass
53	precisan	VERB	49	acl
54	;	PUNCT	64	punct
55	sino	CCONJ	64	cc
56	que	SCONJ	55	fixed
57	la	DET	58	det
58	información	NOUN	64	nsubj
59	necesaria	ADJ	58	amod
60	para	ADP	62	case
61	su	DET	62	det
62	fabricación	NOUN	59	nmod
63	se	PRON	64	expl:pv
64	encuentra	VERB	38	conj
65	grabada	ADJ	64	xcomp
66	de	ADP	64	advmod
67	antemano	NOUN	66	fixed
68	en	ADP	72	mark
69	lo	PRON	72	det
70	que	PRON	72	obj
71	algunos	PRON	72	nsubj
72	llaman	VERB	65	advcl
73	memoria	NOUN	72	obj
74	genética	ADJ	73	amod
75	.	PUNCT	3	punct