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:
Germán de Granda se dedica a unas tareas difíciles, lo que sirve para retratar su conducta; lo hace con un rigor implacable, lo que facilita muchas agujas para marear y nos da unas informaciones bibliográficas que abren mil caminos.
Postion	Tokenization
1	Germán
2	de
3	Granda
4	se
5	dedica
6	a
7	unas
8	tareas
9	difíciles
10	,
11	lo
12	que
13	sirve
14	para
15	retratar
16	su
17	conducta
18	;
19	lo
20	hace
21	con
22	un
23	rigor
24	implacable
25	,
26	lo
27	que
28	facilita
29	muchas
30	agujas
31	para
32	marear
33	y
34	nos
35	da
36	unas
37	informaciones
38	bibliográficas
39	que
40	abren
41	mil
42	caminos
43	.
Position	Tokenization	UPOS	Head	Deprel
1	Germán	PROPN	5	nsubj
2	de	ADP	3	case
3	Granda	PROPN	1	flat
4	se	PRON	5	expl:pv
5	dedica	VERB	0	root
6	a	ADP	8	case
7	unas	DET	8	det
8	tareas	NOUN	5	obj
9	difíciles	ADJ	8	amod
10	,	PUNCT	13	punct
11	lo	PRON	13	det
12	que	PRON	13	nsubj
13	sirve	VERB	5	advcl
14	para	ADP	15	mark
15	retratar	VERB	13	xcomp
16	su	DET	17	det
17	conducta	NOUN	15	obj
18	;	PUNCT	5	punct
19	lo	PRON	20	obj
20	hace	VERB	5	advcl
21	con	ADP	23	case
22	un	DET	23	det
23	rigor	NOUN	20	obl
24	implacable	ADJ	23	amod
25	,	PUNCT	28	punct
26	lo	PRON	28	det
27	que	PRON	28	nsubj
28	facilita	VERB	20	advcl
29	muchas	DET	30	det
30	agujas	NOUN	28	obj
31	para	ADP	32	mark
32	marear	VERB	30	acl
33	y	CCONJ	35	cc
34	nos	PRON	35	iobj
35	da	VERB	28	conj
36	unas	DET	37	det
37	informaciones	NOUN	35	obj
38	bibliográficas	ADJ	37	amod
39	que	PRON	40	nsubj
40	abren	VERB	37	acl
41	mil	NUM	42	nummod
42	caminos	NOUN	40	obj
43	.	PUNCT	5	punct