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:
El veterano político, que hace unas semanas renunció a la presidencia honorífica de la CDU ante la presión del partido para que citara a sus donantes, ratificó que no revelaría esos nombres, porque había dado a esas personas su palabra de honor y aseguró que con ello no trata de esconder "nada terrible".
Postion	Tokenization
1	El
2	veterano
3	político
4	,
5	que
6	hace
7	unas
8	semanas
9	renunció
10	a
11	la
12	presidencia
13	honorífica
14	de
15	la
16	CDU
17	ante
18	la
19	presión
20	del
21	partido
22	para
23	que
24	citara
25	a
26	sus
27	donantes
28	,
29	ratificó
30	que
31	no
32	revelaría
33	esos
34	nombres
35	,
36	porque
37	había
38	dado
39	a
40	esas
41	personas
42	su
43	palabra
44	de
45	honor
46	y
47	aseguró
48	que
49	con
50	ello
51	no
52	trata
53	de
54	esconder
55	"
56	nada
57	terrible
58	"
59	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	veterano	ADJ	3	amod
3	político	NOUN	29	nsubj
4	,	PUNCT	9	punct
5	que	PRON	9	nsubj
6	hace	VERB	9	advcl
7	unas	DET	8	det
8	semanas	NOUN	6	obj
9	renunció	VERB	3	acl
10	a	ADP	12	case
11	la	DET	12	det
12	presidencia	NOUN	9	obj
13	honorífica	ADJ	12	amod
14	de	ADP	16	case
15	la	DET	16	det
16	CDU	PROPN	12	nmod
17	ante	ADP	19	case
18	la	DET	19	det
19	presión	NOUN	9	obl
20	del	ADP	21	case
21	partido	NOUN	19	nmod
22	para	ADP	24	mark
23	que	SCONJ	24	mark
24	citara	VERB	9	advcl
25	a	ADP	27	case
26	sus	DET	27	det
27	donantes	NOUN	24	obj
28	,	PUNCT	9	punct
29	ratificó	VERB	0	root
30	que	SCONJ	32	mark
31	no	ADV	32	advmod
32	revelaría	VERB	29	ccomp
33	esos	DET	34	det
34	nombres	NOUN	32	obj
35	,	PUNCT	38	punct
36	porque	SCONJ	38	mark
37	había	AUX	38	aux
38	dado	VERB	32	advcl
39	a	ADP	41	case
40	esas	DET	41	det
41	personas	NOUN	38	obj
42	su	DET	43	det
43	palabra	NOUN	38	obj
44	de	ADP	45	case
45	honor	NOUN	43	nmod
46	y	CCONJ	47	cc
47	aseguró	VERB	29	conj
48	que	SCONJ	52	mark
49	con	ADP	50	case
50	ello	PRON	52	obl
51	no	ADV	52	advmod
52	trata	VERB	47	xcomp
53	de	ADP	54	mark
54	esconder	VERB	52	xcomp
55	"	PUNCT	56	punct
56	nada	PRON	54	obj
57	terrible	ADJ	56	amod
58	"	PUNCT	56	punct
59	.	PUNCT	29	punct