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:
Pero los libros publicados (y han sido muchos) y las ganas de trabajar de no pocas gentes (no son escasas) deberán hacer olvidar lo que en Germán de Granda es un inveterado pesimismo.
Postion	Tokenization
1	Pero
2	los
3	libros
4	publicados
5	(
6	y
7	han
8	sido
9	muchos
10	)
11	y
12	las
13	ganas
14	de
15	trabajar
16	de
17	no
18	pocas
19	gentes
20	(
21	no
22	son
23	escasas
24	)
25	deberán
26	hacer
27	olvidar
28	lo
29	que
30	en
31	Germán
32	de
33	Granda
34	es
35	un
36	inveterado
37	pesimismo
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	26	advmod
2	los	DET	3	det
3	libros	NOUN	26	nsubj
4	publicados	ADJ	3	amod
5	(	PUNCT	9	punct
6	y	CCONJ	9	advmod
7	han	AUX	9	aux
8	sido	AUX	9	cop
9	muchos	PRON	4	parataxis
10	)	PUNCT	9	punct
11	y	CCONJ	13	cc
12	las	DET	13	det
13	ganas	NOUN	3	conj
14	de	ADP	15	mark
15	trabajar	VERB	13	acl
16	de	ADP	19	case
17	no	ADV	18	advmod
18	pocas	DET	19	det
19	gentes	NOUN	13	nmod
20	(	PUNCT	23	punct
21	no	ADV	23	advmod
22	son	AUX	23	cop
23	escasas	ADJ	13	parataxis
24	)	PUNCT	23	punct
25	deberán	AUX	26	aux
26	hacer	VERB	0	root
27	olvidar	VERB	26	xcomp
28	lo	PRON	37	det
29	que	PRON	37	nsubj
30	en	ADP	31	case
31	Germán	PROPN	37	obl
32	de	ADP	33	case
33	Granda	PROPN	31	flat
34	es	AUX	37	cop
35	un	DET	37	det
36	inveterado	ADJ	37	amod
37	pesimismo	NOUN	27	ccomp
38	.	PUNCT	26	punct