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 técnico malagueño comentó hoy que el partido con el Gijón les ha devuelto a la normalidad, ya que "fue una victoria muy importante para volver a coger la confianza que le faltaba al equipo".
Postion	Tokenization
1	El
2	técnico
3	malagueño
4	comentó
5	hoy
6	que
7	el
8	partido
9	con
10	el
11	Gijón
12	les
13	ha
14	devuelto
15	a
16	la
17	normalidad
18	,
19	ya
20	que
21	"
22	fue
23	una
24	victoria
25	muy
26	importante
27	para
28	volver
29	a
30	coger
31	la
32	confianza
33	que
34	le
35	faltaba
36	al
37	equipo
38	"
39	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	técnico	NOUN	4	nsubj
3	malagueño	ADJ	2	amod
4	comentó	VERB	0	root
5	hoy	ADV	4	advmod
6	que	SCONJ	14	mark
7	el	DET	8	det
8	partido	NOUN	14	nsubj
9	con	ADP	11	case
10	el	DET	11	det
11	Gijón	PROPN	8	nmod
12	les	PRON	14	obj
13	ha	AUX	14	aux
14	devuelto	VERB	4	ccomp
15	a	ADP	17	case
16	la	DET	17	det
17	normalidad	NOUN	14	obl
18	,	PUNCT	24	punct
19	ya	ADV	24	mark
20	que	SCONJ	19	fixed
21	"	PUNCT	24	punct
22	fue	AUX	24	cop
23	una	DET	24	det
24	victoria	NOUN	14	advcl
25	muy	ADV	26	advmod
26	importante	ADJ	24	amod
27	para	ADP	28	mark
28	volver	VERB	26	acl
29	a	ADP	30	mark
30	coger	VERB	28	xcomp
31	la	DET	32	det
32	confianza	NOUN	28	obj
33	que	PRON	35	nsubj
34	le	PRON	35	obj
35	faltaba	VERB	32	acl
36	al	ADP	37	case
37	equipo	NOUN	35	obj
38	"	PUNCT	24	punct
39	.	PUNCT	4	punct