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 líder de la oposición conservadora, William Hague, radicalmente opuesto al euro, quiere hacer del contencioso el tema central de la campaña electoral del próximo año, algo que la dirección laborista desea evitar.
Postion	Tokenization
1	El
2	líder
3	de
4	la
5	oposición
6	conservadora
7	,
8	William
9	Hague
10	,
11	radicalmente
12	opuesto
13	al
14	euro
15	,
16	quiere
17	hacer
18	del
19	contencioso
20	el
21	tema
22	central
23	de
24	la
25	campaña
26	electoral
27	del
28	próximo
29	año
30	,
31	algo
32	que
33	la
34	dirección
35	laborista
36	desea
37	evitar
38	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	líder	NOUN	16	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	oposición	NOUN	2	nmod
6	conservadora	ADJ	5	amod
7	,	PUNCT	8	punct
8	William	PROPN	2	appos
9	Hague	PROPN	8	flat
10	,	PUNCT	8	punct
11	radicalmente	ADV	12	advmod
12	opuesto	ADJ	2	amod
13	al	ADP	14	case
14	euro	NOUN	12	obj
15	,	PUNCT	2	punct
16	quiere	VERB	0	root
17	hacer	VERB	16	xcomp
18	del	ADP	19	case
19	contencioso	NOUN	17	obj
20	el	DET	21	det
21	tema	NOUN	17	obj
22	central	ADJ	21	amod
23	de	ADP	25	case
24	la	DET	25	det
25	campaña	NOUN	21	nmod
26	electoral	ADJ	25	amod
27	del	ADP	29	case
28	próximo	ADJ	29	amod
29	año	NOUN	25	nmod
30	,	PUNCT	31	punct
31	algo	PRON	16	obl
32	que	PRON	36	iobj
33	la	DET	34	det
34	dirección	NOUN	36	nsubj
35	laborista	ADJ	34	amod
36	desea	VERB	31	acl
37	evitar	VERB	36	xcomp
38	.	PUNCT	16	punct