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:
Claudio Aranzadi, predecesor de Eguiagaray en el Ministerio de Industria, probablemente nunca dijo que - la mejor política industrial es la que no existe -.
Postion	Tokenization
1	Claudio
2	Aranzadi
3	,
4	predecesor
5	de
6	Eguiagaray
7	en
8	el
9	Ministerio
10	de
11	Industria
12	,
13	probablemente
14	nunca
15	dijo
16	que
17	-
18	la
19	mejor
20	política
21	industrial
22	es
23	la
24	que
25	no
26	existe
27	-
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Claudio	PROPN	15	nsubj
2	Aranzadi	PROPN	1	flat
3	,	PUNCT	4	punct
4	predecesor	NOUN	1	appos
5	de	ADP	6	case
6	Eguiagaray	PROPN	4	nmod
7	en	ADP	9	case
8	el	DET	9	det
9	Ministerio	PROPN	4	nmod
10	de	ADP	11	case
11	Industria	PROPN	9	flat
12	,	PUNCT	4	punct
13	probablemente	ADV	14	advmod
14	nunca	ADV	15	advmod
15	dijo	VERB	0	root
16	que	SCONJ	22	mark
17	-	PUNCT	22	punct
18	la	DET	20	det
19	mejor	ADJ	20	amod
20	política	NOUN	22	nsubj
21	industrial	ADJ	20	amod
22	es	AUX	15	ccomp
23	la	DET	26	det
24	que	PRON	26	nsubj
25	no	ADV	26	advmod
26	existe	VERB	22	ccomp
27	-	PUNCT	15	punct
28	.	PUNCT	15	punct