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:
"Creo que era una especie de aviso", indicó José Hurtado quien considera además que "como en todas las decisiones ha primado el criterio geopolítico más que el puramente técnico".
Postion	Tokenization
1	"
2	Creo
3	que
4	era
5	una
6	especie
7	de
8	aviso
9	"
10	,
11	indicó
12	José
13	Hurtado
14	quien
15	considera
16	además
17	que
18	"
19	como
20	en
21	todas
22	las
23	decisiones
24	ha
25	primado
26	el
27	criterio
28	geopolítico
29	más
30	que
31	el
32	puramente
33	técnico
34	"
35	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Creo	VERB	11	ccomp
3	que	SCONJ	6	mark
4	era	AUX	6	cop
5	una	DET	6	det
6	especie	NOUN	2	ccomp
7	de	ADP	8	case
8	aviso	NOUN	6	nmod
9	"	PUNCT	2	punct
10	,	PUNCT	2	punct
11	indicó	VERB	0	root
12	José	PROPN	11	nsubj
13	Hurtado	PROPN	12	flat
14	quien	PRON	15	nsubj
15	considera	VERB	12	acl
16	además	ADV	15	advmod
17	que	SCONJ	25	mark
18	"	PUNCT	25	punct
19	como	SCONJ	23	mark
20	en	ADP	23	case
21	todas	DET	22	det
22	las	DET	23	det
23	decisiones	NOUN	25	obl
24	ha	AUX	25	aux
25	primado	VERB	15	ccomp
26	el	DET	27	det
27	criterio	NOUN	25	nsubj
28	geopolítico	ADJ	27	amod
29	más	ADV	27	advmod
30	que	SCONJ	33	mark
31	el	DET	33	det
32	puramente	ADV	33	advmod
33	técnico	ADJ	29	advmod
34	"	PUNCT	25	punct
35	.	PUNCT	11	punct