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 es un investigador de gran solvencia, el primero entre nosotros en las indagaciones lingüísticas sobre el frica negra y sus relaciones e influencia sobre el español.
Postion	Tokenization
1	Germán
2	de
3	Granda
4	es
5	un
6	investigador
7	de
8	gran
9	solvencia
10	,
11	el
12	primero
13	entre
14	nosotros
15	en
16	las
17	indagaciones
18	lingüísticas
19	sobre
20	el
21	frica
22	negra
23	y
24	sus
25	relaciones
26	e
27	influencia
28	sobre
29	el
30	español
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Germán	PROPN	6	nsubj
2	de	ADP	3	case
3	Granda	PROPN	1	flat
4	es	AUX	6	cop
5	un	DET	6	det
6	investigador	NOUN	0	root
7	de	ADP	9	case
8	gran	ADJ	9	amod
9	solvencia	NOUN	6	nmod
10	,	PUNCT	12	punct
11	el	DET	12	det
12	primero	ADJ	6	appos
13	entre	ADP	14	case
14	nosotros	PRON	12	nmod
15	en	ADP	17	case
16	las	DET	17	det
17	indagaciones	NOUN	12	nmod
18	lingüísticas	ADJ	17	amod
19	sobre	ADP	21	case
20	el	DET	21	det
21	frica	PROPN	17	nmod
22	negra	ADJ	21	amod
23	y	CCONJ	25	cc
24	sus	DET	25	det
25	relaciones	NOUN	21	conj
26	e	CCONJ	27	cc
27	influencia	NOUN	25	conj
28	sobre	ADP	30	case
29	el	DET	30	det
30	español	NOUN	27	nmod
31	.	PUNCT	6	punct