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:
Según el antiguo apoderado del partido, Uwe Lüthje, las cuentas secretas en Suiza alimentadas con estos fondos quedaron "dormidas", durante años, pero se revitalizaron a finales de de los 80 con unos cinco o seis millones de marcos (de 2,5 a 3 millones de dólares) que, de acuerdo a este testimonio, entregó el consorcio Siemens.
Postion	Tokenization
1	Según
2	el
3	antiguo
4	apoderado
5	del
6	partido
7	,
8	Uwe
9	Lüthje
10	,
11	las
12	cuentas
13	secretas
14	en
15	Suiza
16	alimentadas
17	con
18	estos
19	fondos
20	quedaron
21	"
22	dormidas
23	"
24	,
25	durante
26	años
27	,
28	pero
29	se
30	revitalizaron
31	a
32	finales
33	de
34	de
35	los
36	80
37	con
38	unos
39	cinco
40	o
41	seis
42	millones
43	de
44	marcos
45	(
46	de
47	2,5
48	a
49	3
50	millones
51	de
52	dólares
53	)
54	que
55	,
56	de
57	acuerdo
58	a
59	este
60	testimonio
61	,
62	entregó
63	el
64	consorcio
65	Siemens
66	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	4	case
2	el	DET	4	det
3	antiguo	ADJ	4	amod
4	apoderado	NOUN	20	obl
5	del	ADP	6	case
6	partido	NOUN	4	nmod
7	,	PUNCT	8	punct
8	Uwe	PROPN	4	appos
9	Lüthje	PROPN	8	flat
10	,	PUNCT	8	punct
11	las	DET	12	det
12	cuentas	NOUN	20	nsubj
13	secretas	ADJ	12	amod
14	en	ADP	15	case
15	Suiza	PROPN	12	nmod
16	alimentadas	ADJ	12	amod
17	con	ADP	19	case
18	estos	DET	19	det
19	fondos	NOUN	16	obl
20	quedaron	VERB	0	root
21	"	PUNCT	22	punct
22	dormidas	ADJ	20	obj
23	"	PUNCT	22	punct
24	,	PUNCT	26	punct
25	durante	ADP	26	case
26	años	NOUN	20	obl
27	,	PUNCT	26	punct
28	pero	CCONJ	30	cc
29	se	PRON	30	expl:pass
30	revitalizaron	VERB	20	conj
31	a	ADP	36	case
32	finales	NOUN	31	fixed
33	de	ADP	31	fixed
34	de	ADP	36	case
35	los	DET	36	det
36	80	NOUN	30	obl
37	con	ADP	42	case
38	unos	PRON	39	nmod
39	cinco	NUM	42	nummod
40	o	CCONJ	41	cc
41	seis	NUM	39	conj
42	millones	NOUN	30	obl
43	de	ADP	44	case
44	marcos	NOUN	42	nmod
45	(	PUNCT	47	punct
46	de	ADP	47	case
47	2,5	NUM	42	nummod
48	a	ADP	50	case
49	3	NUM	50	nummod
50	millones	NOUN	47	nmod
51	de	ADP	52	case
52	dólares	NOUN	50	nmod
53	)	PUNCT	47	punct
54	que	PRON	62	obj
55	,	PUNCT	60	punct
56	de	ADP	60	case
57	acuerdo	NOUN	56	fixed
58	a	ADP	56	fixed
59	este	DET	60	det
60	testimonio	NOUN	62	obl
61	,	PUNCT	60	punct
62	entregó	VERB	42	acl
63	el	DET	64	det
64	consorcio	NOUN	62	nsubj
65	Siemens	PROPN	64	appos
66	.	PUNCT	20	punct