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:
En términos parecidos se pronunció hoy también el ministro de Trabajo, Manuel Pimentel, quien afirmó a los periodistas que González actúa de mala fe o desconoce profundamente el asunto.
Postion	Tokenization
1	En
2	términos
3	parecidos
4	se
5	pronunció
6	hoy
7	también
8	el
9	ministro
10	de
11	Trabajo
12	,
13	Manuel
14	Pimentel
15	,
16	quien
17	afirmó
18	a
19	los
20	periodistas
21	que
22	González
23	actúa
24	de
25	mala
26	fe
27	o
28	desconoce
29	profundamente
30	el
31	asunto
32	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	términos	NOUN	5	obl
3	parecidos	ADJ	2	amod
4	se	PRON	5	expl:pv
5	pronunció	VERB	0	root
6	hoy	ADV	5	advmod
7	también	ADV	5	advmod
8	el	DET	9	det
9	ministro	NOUN	5	nsubj
10	de	ADP	11	case
11	Trabajo	PROPN	9	nmod
12	,	PUNCT	13	punct
13	Manuel	PROPN	9	appos
14	Pimentel	PROPN	13	flat
15	,	PUNCT	13	punct
16	quien	PRON	17	nsubj
17	afirmó	VERB	9	acl
18	a	ADP	20	case
19	los	DET	20	det
20	periodistas	NOUN	17	iobj
21	que	SCONJ	23	mark
22	González	PROPN	23	nsubj
23	actúa	VERB	17	ccomp
24	de	ADP	23	advmod
25	mala	ADJ	24	fixed
26	fe	NOUN	24	fixed
27	o	CCONJ	28	cc
28	desconoce	VERB	23	conj
29	profundamente	ADV	28	advmod
30	el	DET	31	det
31	asunto	NOUN	28	obj
32	.	PUNCT	5	punct