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:
Pese a que ha reconocido que, entre 1993 y 1998, mantuvo un sistema de financiación paralelo de la CDU alimentado por donativos anónimos e ilícitos, Kohl dice "sentirse burlado".
Postion	Tokenization
1	Pese
2	a
3	que
4	ha
5	reconocido
6	que
7	,
8	entre
9	1993
10	y
11	1998
12	,
13	mantuvo
14	un
15	sistema
16	de
17	financiación
18	paralelo
19	de
20	la
21	CDU
22	alimentado
23	por
24	donativos
25	anónimos
26	e
27	ilícitos
28	,
29	Kohl
30	dice
31	"
32	sentirse
33	sentir
34	se
35	burlado
36	"
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Pese	NOUN	5	mark
2	a	ADP	1	fixed
3	que	SCONJ	1	fixed
4	ha	AUX	5	aux
5	reconocido	VERB	30	advcl
6	que	SCONJ	13	mark
7	,	PUNCT	9	punct
8	entre	ADP	9	case
9	1993	NOUN	13	obl
10	y	CCONJ	11	cc
11	1998	NOUN	9	conj
12	,	PUNCT	9	punct
13	mantuvo	VERB	5	ccomp
14	un	DET	15	det
15	sistema	NOUN	13	obj
16	de	ADP	17	case
17	financiación	NOUN	15	nmod
18	paralelo	ADJ	15	amod
19	de	ADP	21	case
20	la	DET	21	det
21	CDU	PROPN	18	nmod
22	alimentado	ADJ	15	amod
23	por	ADP	24	case
24	donativos	NOUN	22	obj
25	anónimos	ADJ	24	amod
26	e	CCONJ	27	cc
27	ilícitos	ADJ	25	conj
28	,	PUNCT	5	punct
29	Kohl	PROPN	30	nsubj
30	dice	VERB	0	root
31	"	PUNCT	32	punct
32	sentirse	_	None	_
33	sentir	VERB	30	ccomp
34	se	PRON	32	expl:pv
35	burlado	ADJ	32	xcomp
36	"	PUNCT	32	punct
37	.	PUNCT	30	punct