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:
Trabajamos y Germán de Granda, desde su aparente exabrupto, es un buen modelo de lo que llamamos cumplimiento del deber, con una fórmula muy olvidada por estos pagos.
Postion	Tokenization
1	Trabajamos
2	y
3	Germán
4	de
5	Granda
6	,
7	desde
8	su
9	aparente
10	exabrupto
11	,
12	es
13	un
14	buen
15	modelo
16	de
17	lo
18	que
19	llamamos
20	cumplimiento
21	del
22	deber
23	,
24	con
25	una
26	fórmula
27	muy
28	olvidada
29	por
30	estos
31	pagos
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Trabajamos	VERB	0	root
2	y	CCONJ	15	cc
3	Germán	PROPN	15	nsubj
4	de	ADP	5	case
5	Granda	PROPN	3	flat
6	,	PUNCT	10	punct
7	desde	ADP	10	case
8	su	DET	10	det
9	aparente	ADJ	10	amod
10	exabrupto	NOUN	15	obl
11	,	PUNCT	10	punct
12	es	AUX	15	cop
13	un	DET	15	det
14	buen	ADJ	15	amod
15	modelo	NOUN	1	conj
16	de	ADP	19	mark
17	lo	PRON	19	det
18	que	PRON	19	obj
19	llamamos	VERB	15	acl
20	cumplimiento	NOUN	19	obj
21	del	ADP	22	case
22	deber	NOUN	20	nmod
23	,	PUNCT	26	punct
24	con	ADP	26	case
25	una	DET	26	det
26	fórmula	NOUN	19	obl
27	muy	ADV	28	advmod
28	olvidada	ADJ	26	amod
29	por	ADP	31	case
30	estos	DET	31	det
31	pagos	NOUN	28	obl
32	.	PUNCT	1	punct