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 implacable y eficaz oposición de Aznar y las denuncias de la prensa están dejando sin banquillo al equipo que gobierna.
Postion	Tokenization
1	La
2	implacable
3	y
4	eficaz
5	oposición
6	de
7	Aznar
8	y
9	las
10	denuncias
11	de
12	la
13	prensa
14	están
15	dejando
16	sin
17	banquillo
18	al
19	equipo
20	que
21	gobierna
22	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	5	det
2	implacable	ADJ	5	amod
3	y	CCONJ	4	cc
4	eficaz	ADJ	2	conj
5	oposición	NOUN	15	nsubj
6	de	ADP	7	case
7	Aznar	PROPN	5	nmod
8	y	CCONJ	10	cc
9	las	DET	10	det
10	denuncias	NOUN	5	conj
11	de	ADP	13	case
12	la	DET	13	det
13	prensa	NOUN	10	nmod
14	están	AUX	15	aux
15	dejando	VERB	0	root
16	sin	ADP	17	case
17	banquillo	NOUN	15	obl
18	al	ADP	19	case
19	equipo	NOUN	15	obj
20	que	PRON	21	nsubj
21	gobierna	VERB	19	acl
22	.	PUNCT	15	punct