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:
A la espera de que se oficialice o no el levantamiento de la sanción, la prueba de confianza dada hoy por la Federación germana ha levantado las primeras críticas.
Postion	Tokenization
1	A
2	la
3	espera
4	de
5	que
6	se
7	oficialice
8	o
9	no
10	el
11	levantamiento
12	de
13	la
14	sanción
15	,
16	la
17	prueba
18	de
19	confianza
20	dada
21	hoy
22	por
23	la
24	Federación
25	germana
26	ha
27	levantado
28	las
29	primeras
30	críticas
31	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	7	mark
2	la	DET	1	fixed
3	espera	NOUN	1	fixed
4	de	ADP	1	fixed
5	que	SCONJ	7	mark
6	se	PRON	7	expl:pass
7	oficialice	VERB	27	advcl
8	o	CCONJ	9	cc
9	no	ADV	7	conj
10	el	DET	11	det
11	levantamiento	NOUN	7	nsubj
12	de	ADP	14	case
13	la	DET	14	det
14	sanción	NOUN	11	nmod
15	,	PUNCT	7	punct
16	la	DET	17	det
17	prueba	NOUN	27	nsubj
18	de	ADP	19	case
19	confianza	NOUN	17	nmod
20	dada	ADJ	19	amod
21	hoy	ADV	20	advmod
22	por	ADP	24	case
23	la	DET	24	det
24	Federación	PROPN	20	obj
25	germana	ADJ	24	amod
26	ha	AUX	27	aux
27	levantado	VERB	0	root
28	las	DET	30	det
29	primeras	ADJ	30	amod
30	críticas	NOUN	27	obj
31	.	PUNCT	27	punct