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:
La portavoz de la CDU, Eva Christiansen, dijo que el partido no dispone de pruebas que demuestren la existencia de cuentas secretas en paraísos fiscales, y aseguró que es "de sobra conocido" que Weyrauch efectuó varios viajes a Suiza y Liechtenstein a cuenta de la CDU.
Postion	Tokenization
1	La
2	portavoz
3	de
4	la
5	CDU
6	,
7	Eva
8	Christiansen
9	,
10	dijo
11	que
12	el
13	partido
14	no
15	dispone
16	de
17	pruebas
18	que
19	demuestren
20	la
21	existencia
22	de
23	cuentas
24	secretas
25	en
26	paraísos
27	fiscales
28	,
29	y
30	aseguró
31	que
32	es
33	"
34	de
35	sobra
36	conocido
37	"
38	que
39	Weyrauch
40	efectuó
41	varios
42	viajes
43	a
44	Suiza
45	y
46	Liechtenstein
47	a
48	cuenta
49	de
50	la
51	CDU
52	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	portavoz	NOUN	10	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	CDU	PROPN	2	nmod
6	,	PUNCT	7	punct
7	Eva	PROPN	2	appos
8	Christiansen	PROPN	7	flat
9	,	PUNCT	7	punct
10	dijo	VERB	0	root
11	que	SCONJ	15	mark
12	el	DET	13	det
13	partido	NOUN	15	nsubj
14	no	ADV	15	advmod
15	dispone	VERB	10	ccomp
16	de	ADP	17	case
17	pruebas	NOUN	15	obj
18	que	PRON	19	nsubj
19	demuestren	VERB	17	acl
20	la	DET	21	det
21	existencia	NOUN	19	obj
22	de	ADP	23	case
23	cuentas	NOUN	21	nmod
24	secretas	ADJ	23	amod
25	en	ADP	26	case
26	paraísos	NOUN	21	nmod
27	fiscales	ADJ	26	amod
28	,	PUNCT	30	punct
29	y	CCONJ	30	cc
30	aseguró	VERB	10	conj
31	que	SCONJ	36	mark
32	es	AUX	36	cop
33	"	PUNCT	36	punct
34	de	ADP	36	advmod
35	sobra	NOUN	34	fixed
36	conocido	ADJ	30	ccomp
37	"	PUNCT	36	punct
38	que	SCONJ	40	mark
39	Weyrauch	PROPN	40	nsubj
40	efectuó	VERB	36	csubj
41	varios	DET	42	det
42	viajes	NOUN	40	obj
43	a	ADP	44	case
44	Suiza	PROPN	42	nmod
45	y	CCONJ	46	cc
46	Liechtenstein	PROPN	44	conj
47	a	ADP	51	case
48	cuenta	NOUN	47	fixed
49	de	ADP	47	fixed
50	la	DET	51	det
51	CDU	PROPN	42	nmod
52	.	PUNCT	10	punct