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 entrenador del Espanyol, Paco Flores, ha aplaudido el triunfo de su equipo (5-1) ante el Rayo Vallecano, porque lo interpreta como una inyección de moral y de credibilidad para la recta final del campeonato.
Postion	Tokenization
1	El
2	entrenador
3	del
4	Espanyol
5	,
6	Paco
7	Flores
8	,
9	ha
10	aplaudido
11	el
12	triunfo
13	de
14	su
15	equipo
16	(
17	5-1
18	)
19	ante
20	el
21	Rayo
22	Vallecano
23	,
24	porque
25	lo
26	interpreta
27	como
28	una
29	inyección
30	de
31	moral
32	y
33	de
34	credibilidad
35	para
36	la
37	recta
38	final
39	del
40	campeonato
41	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	entrenador	NOUN	10	nsubj
3	del	ADP	4	case
4	Espanyol	PROPN	2	nmod
5	,	PUNCT	6	punct
6	Paco	PROPN	2	appos
7	Flores	PROPN	6	flat
8	,	PUNCT	6	punct
9	ha	AUX	10	aux
10	aplaudido	VERB	0	root
11	el	DET	12	det
12	triunfo	NOUN	10	obj
13	de	ADP	15	case
14	su	DET	15	det
15	equipo	NOUN	12	nmod
16	(	PUNCT	17	punct
17	5-1	NUM	12	appos
18	)	PUNCT	17	punct
19	ante	ADP	21	case
20	el	DET	21	det
21	Rayo	PROPN	12	nmod
22	Vallecano	PROPN	21	flat
23	,	PUNCT	26	punct
24	porque	SCONJ	26	mark
25	lo	PRON	26	obj
26	interpreta	VERB	10	advcl
27	como	SCONJ	29	mark
28	una	DET	29	det
29	inyección	NOUN	26	obl
30	de	ADP	31	case
31	moral	NOUN	29	nmod
32	y	CCONJ	34	cc
33	de	ADP	34	case
34	credibilidad	NOUN	31	conj
35	para	ADP	37	case
36	la	DET	37	det
37	recta	NOUN	29	nmod
38	final	ADJ	37	amod
39	del	ADP	40	case
40	campeonato	NOUN	37	nmod
41	.	PUNCT	10	punct