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:
Ésta es la segunda vez que Schäuble entra en rectificaciones después de haber declarado inicialmente ante el Parlamento federal que sólo se reunió una vez con Schreiber y que no recibió dinero.
Postion	Tokenization
1	Ésta
2	es
3	la
4	segunda
5	vez
6	que
7	Schäuble
8	entra
9	en
10	rectificaciones
11	después
12	de
13	haber
14	declarado
15	inicialmente
16	ante
17	el
18	Parlamento
19	federal
20	que
21	sólo
22	se
23	reunió
24	una
25	vez
26	con
27	Schreiber
28	y
29	que
30	no
31	recibió
32	dinero
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Ésta	PRON	5	nsubj
2	es	AUX	5	cop
3	la	DET	5	det
4	segunda	ADJ	5	amod
5	vez	NOUN	0	root
6	que	PRON	8	obl
7	Schäuble	PROPN	8	nsubj
8	entra	VERB	5	acl
9	en	ADP	10	case
10	rectificaciones	NOUN	8	obl
11	después	ADV	8	advmod
12	de	ADP	14	mark
13	haber	AUX	14	aux
14	declarado	VERB	11	advcl
15	inicialmente	ADV	14	advmod
16	ante	ADP	18	case
17	el	DET	18	det
18	Parlamento	PROPN	14	obl
19	federal	ADJ	18	amod
20	que	SCONJ	23	mark
21	sólo	ADV	23	advmod
22	se	PRON	23	expl:pv
23	reunió	VERB	14	ccomp
24	una	DET	25	det
25	vez	NOUN	23	obl
26	con	ADP	27	case
27	Schreiber	PROPN	23	obj
28	y	CCONJ	31	cc
29	que	SCONJ	31	mark
30	no	ADV	31	advmod
31	recibió	VERB	23	conj
32	dinero	NOUN	31	obj
33	.	PUNCT	5	punct