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:
El directivo de ANIF - un centro de investigaciones económicas de carácter privado - sostuvo que a pesar del anuncio del ministro "hay razones para pensar que el peligro para los contribuyentes no ha pasado".
Postion	Tokenization
1	El
2	directivo
3	de
4	ANIF
5	-
6	un
7	centro
8	de
9	investigaciones
10	económicas
11	de
12	carácter
13	privado
14	-
15	sostuvo
16	que
17	a
18	pesar
19	del
20	anuncio
21	del
22	ministro
23	"
24	hay
25	razones
26	para
27	pensar
28	que
29	el
30	peligro
31	para
32	los
33	contribuyentes
34	no
35	ha
36	pasado
37	"
38	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	directivo	NOUN	15	nsubj
3	de	ADP	4	case
4	ANIF	PROPN	2	nmod
5	-	PUNCT	7	punct
6	un	DET	7	det
7	centro	NOUN	4	appos
8	de	ADP	9	case
9	investigaciones	NOUN	7	nmod
10	económicas	ADJ	9	amod
11	de	ADP	12	case
12	carácter	NOUN	7	nmod
13	privado	ADJ	12	amod
14	-	PUNCT	7	punct
15	sostuvo	VERB	0	root
16	que	SCONJ	24	mark
17	a	ADP	20	case
18	pesar	NOUN	17	fixed
19	del	ADP	17	fixed
20	anuncio	NOUN	24	obl
21	del	ADP	22	case
22	ministro	NOUN	20	nmod
23	"	PUNCT	24	punct
24	hay	AUX	15	ccomp
25	razones	NOUN	24	obj
26	para	ADP	27	mark
27	pensar	VERB	25	acl
28	que	SCONJ	27	mark
29	el	DET	30	det
30	peligro	NOUN	27	nsubj
31	para	ADP	33	case
32	los	DET	33	det
33	contribuyentes	NOUN	30	nmod
34	no	ADV	27	advmod
35	ha	AUX	27	aux
36	pasado	VERB	27	xcomp
37	"	PUNCT	24	punct
38	.	PUNCT	15	punct