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 candidato socialista, Joaquín Almunia, se ha dedicado a explicar "la cosa", o lo que es lo mismo, el pacto PSOE-IU, por más de medio centenar de actos públicos.
Postion	Tokenization
1	El
2	candidato
3	socialista
4	,
5	Joaquín
6	Almunia
7	,
8	se
9	ha
10	dedicado
11	a
12	explicar
13	"
14	la
15	cosa
16	"
17	,
18	o
19	lo
20	que
21	es
22	lo
23	mismo
24	,
25	el
26	pacto
27	PSOE-IU
28	,
29	por
30	más
31	de
32	medio
33	centenar
34	de
35	actos
36	públicos
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	candidato	NOUN	10	nsubj
3	socialista	ADJ	2	amod
4	,	PUNCT	5	punct
5	Joaquín	PROPN	2	appos
6	Almunia	PROPN	5	flat
7	,	PUNCT	5	punct
8	se	PRON	10	expl:pv
9	ha	AUX	10	aux
10	dedicado	VERB	0	root
11	a	ADP	12	mark
12	explicar	VERB	10	xcomp
13	"	PUNCT	15	punct
14	la	DET	15	det
15	cosa	NOUN	12	obj
16	"	PUNCT	23	punct
17	,	PUNCT	23	punct
18	o	CCONJ	23	cc
19	lo	PRON	23	det
20	que	PRON	23	nsubj
21	es	AUX	23	cop
22	lo	PRON	23	det
23	mismo	ADV	15	conj
24	,	PUNCT	23	punct
25	el	DET	26	det
26	pacto	NOUN	23	obj
27	PSOE-IU	PROPN	26	appos
28	,	PUNCT	15	punct
29	por	ADP	35	case
30	más	ADV	33	advmod
31	de	ADP	33	case
32	medio	NUM	33	nummod
33	centenar	NOUN	35	nmod
34	de	ADP	33	case
35	actos	NOUN	12	obl
36	públicos	ADJ	35	amod
37	.	PUNCT	10	punct