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 eliminación de la candidatura española era, en opinión del Consejero, "una decisión previsible" después "de las manifestaciones de Juan Antonio Samaranch que calificaba la candidatura técnicamente muy buena, pero con muchas dificultades para pasar el corte".
Postion	Tokenization
1	La
2	eliminación
3	de
4	la
5	candidatura
6	española
7	era
8	,
9	en
10	opinión
11	del
12	Consejero
13	,
14	"
15	una
16	decisión
17	previsible
18	"
19	después
20	"
21	de
22	las
23	manifestaciones
24	de
25	Juan
26	Antonio
27	Samaranch
28	que
29	calificaba
30	la
31	candidatura
32	técnicamente
33	muy
34	buena
35	,
36	pero
37	con
38	muchas
39	dificultades
40	para
41	pasar
42	el
43	corte
44	"
45	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	eliminación	NOUN	16	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	candidatura	NOUN	2	nmod
6	española	ADJ	5	amod
7	era	AUX	16	cop
8	,	PUNCT	10	punct
9	en	ADP	10	case
10	opinión	NOUN	16	obl
11	del	ADP	12	case
12	Consejero	PROPN	10	nmod
13	,	PUNCT	10	punct
14	"	PUNCT	16	punct
15	una	DET	16	det
16	decisión	NOUN	0	root
17	previsible	ADJ	16	amod
18	"	PUNCT	19	punct
19	después	ADV	16	advmod
20	"	PUNCT	19	punct
21	de	ADP	23	case
22	las	DET	23	det
23	manifestaciones	NOUN	19	obl
24	de	ADP	25	case
25	Juan	PROPN	23	nmod
26	Antonio	PROPN	25	flat
27	Samaranch	PROPN	25	flat
28	que	PRON	29	nsubj
29	calificaba	VERB	25	acl
30	la	DET	31	det
31	candidatura	NOUN	29	obj
32	técnicamente	ADV	34	advmod
33	muy	ADV	34	advmod
34	buena	ADJ	29	obj
35	,	PUNCT	39	punct
36	pero	CCONJ	39	cc
37	con	ADP	39	case
38	muchas	DET	39	det
39	dificultades	NOUN	34	conj
40	para	ADP	41	mark
41	pasar	VERB	39	acl
42	el	DET	43	det
43	corte	NOUN	41	obj
44	"	PUNCT	16	punct
45	.	PUNCT	16	punct