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:
Gracias a este carácter pactista derrotó a Lennart Johansson en París, en las elecciones de junio de 1998, con la ayuda de todo tipo de alianzas, como la que firmó con Michel Platini.
Postion	Tokenization
1	Gracias
2	a
3	este
4	carácter
5	pactista
6	derrotó
7	a
8	Lennart
9	Johansson
10	en
11	París
12	,
13	en
14	las
15	elecciones
16	de
17	junio
18	de
19	1998
20	,
21	con
22	la
23	ayuda
24	de
25	todo
26	tipo
27	de
28	alianzas
29	,
30	como
31	la
32	que
33	firmó
34	con
35	Michel
36	Platini
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Gracias	NOUN	4	case
2	a	ADP	1	fixed
3	este	DET	4	det
4	carácter	NOUN	6	obl
5	pactista	ADJ	4	amod
6	derrotó	VERB	0	root
7	a	ADP	8	case
8	Lennart	PROPN	6	obj
9	Johansson	PROPN	8	flat
10	en	ADP	11	case
11	París	PROPN	6	obl
12	,	PUNCT	15	punct
13	en	ADP	15	case
14	las	DET	15	det
15	elecciones	NOUN	6	obl
16	de	ADP	17	case
17	junio	NOUN	15	nmod
18	de	ADP	19	case
19	1998	NUM	17	compound
20	,	PUNCT	15	punct
21	con	ADP	23	case
22	la	DET	23	det
23	ayuda	NOUN	6	obl
24	de	ADP	26	case
25	todo	DET	26	det
26	tipo	NOUN	23	nmod
27	de	ADP	28	case
28	alianzas	NOUN	26	nmod
29	,	PUNCT	33	punct
30	como	SCONJ	33	mark
31	la	DET	33	det
32	que	PRON	33	obj
33	firmó	VERB	28	acl
34	con	ADP	35	case
35	Michel	PROPN	33	obl
36	Platini	PROPN	35	flat
37	.	PUNCT	6	punct