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:
Alemania y Austria, por el contrario, permanecen firmes en su oposición al texto, ya que consideran que menoscaba claramente el derecho a la defensa reconocido en sus Constituciones.
Postion	Tokenization
1	Alemania
2	y
3	Austria
4	,
5	por
6	el
7	contrario
8	,
9	permanecen
10	firmes
11	en
12	su
13	oposición
14	al
15	texto
16	,
17	ya
18	que
19	consideran
20	que
21	menoscaba
22	claramente
23	el
24	derecho
25	a
26	la
27	defensa
28	reconocido
29	en
30	sus
31	Constituciones
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Alemania	PROPN	9	nsubj
2	y	CCONJ	3	cc
3	Austria	PROPN	1	conj
4	,	PUNCT	5	punct
5	por	ADP	9	advmod
6	el	DET	5	fixed
7	contrario	NOUN	5	fixed
8	,	PUNCT	5	punct
9	permanecen	VERB	0	root
10	firmes	ADJ	9	obj
11	en	ADP	13	case
12	su	DET	13	det
13	oposición	NOUN	10	nmod
14	al	ADP	15	case
15	texto	NOUN	13	nmod
16	,	PUNCT	19	punct
17	ya	ADV	19	mark
18	que	SCONJ	17	fixed
19	consideran	VERB	9	advcl
20	que	SCONJ	21	mark
21	menoscaba	VERB	19	ccomp
22	claramente	ADV	21	advmod
23	el	DET	24	det
24	derecho	NOUN	21	obj
25	a	ADP	27	case
26	la	DET	27	det
27	defensa	NOUN	24	nmod
28	reconocido	ADJ	24	amod
29	en	ADP	31	case
30	sus	DET	31	det
31	Constituciones	PROPN	28	obl
32	.	PUNCT	9	punct