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:
Fischer contestó defendiendo las medidas adoptadas por la Unión Europea para "demostrar su gran preocupación por los acontecimientos en Austria" y recalcó que la UE no podía contemplar lo que ocurría al otro lado de los Alpes sin reaccionar.
Postion	Tokenization
1	Fischer
2	contestó
3	defendiendo
4	las
5	medidas
6	adoptadas
7	por
8	la
9	Unión
10	Europea
11	para
12	"
13	demostrar
14	su
15	gran
16	preocupación
17	por
18	los
19	acontecimientos
20	en
21	Austria
22	"
23	y
24	recalcó
25	que
26	la
27	UE
28	no
29	podía
30	contemplar
31	lo
32	que
33	ocurría
34	al
35	otro
36	lado
37	de
38	los
39	Alpes
40	sin
41	reaccionar
42	.
Position	Tokenization	UPOS	Head	Deprel
1	Fischer	PROPN	2	nsubj
2	contestó	VERB	0	root
3	defendiendo	VERB	2	advcl
4	las	DET	5	det
5	medidas	NOUN	3	obj
6	adoptadas	ADJ	5	amod
7	por	ADP	9	case
8	la	DET	9	det
9	Unión	PROPN	6	obj
10	Europea	PROPN	9	flat
11	para	ADP	13	mark
12	"	PUNCT	13	punct
13	demostrar	VERB	2	advcl
14	su	DET	16	det
15	gran	ADJ	16	amod
16	preocupación	NOUN	13	obj
17	por	ADP	19	case
18	los	DET	19	det
19	acontecimientos	NOUN	16	nmod
20	en	ADP	21	case
21	Austria	PROPN	19	nmod
22	"	PUNCT	13	punct
23	y	CCONJ	24	cc
24	recalcó	VERB	2	conj
25	que	SCONJ	30	mark
26	la	DET	27	det
27	UE	PROPN	30	nsubj
28	no	ADV	30	advmod
29	podía	AUX	30	aux
30	contemplar	VERB	24	xcomp
31	lo	PRON	33	det
32	que	PRON	33	nsubj
33	ocurría	VERB	30	ccomp
34	al	ADP	36	case
35	otro	DET	36	det
36	lado	NOUN	33	obl
37	de	ADP	39	case
38	los	DET	39	det
39	Alpes	PROPN	36	nmod
40	sin	ADP	41	mark
41	reaccionar	VERB	30	advcl
42	.	PUNCT	2	punct