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 jornada también dejó para el recuerdo la goleada de la Real Sociedad sobre el Athletic (4-1) en el duelo vasco y un nuevo tropiezo del Atlético de Madrid, esta vez en casa frente al Málaga (2-2).
Postion	Tokenization
1	La
2	jornada
3	también
4	dejó
5	para
6	el
7	recuerdo
8	la
9	goleada
10	de
11	la
12	Real
13	Sociedad
14	sobre
15	el
16	Athletic
17	(
18	4-1
19	)
20	en
21	el
22	duelo
23	vasco
24	y
25	un
26	nuevo
27	tropiezo
28	del
29	Atlético
30	de
31	Madrid
32	,
33	esta
34	vez
35	en
36	casa
37	frente
38	al
39	Málaga
40	(
41	2-2
42	)
43	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	jornada	NOUN	4	nsubj
3	también	ADV	4	advmod
4	dejó	VERB	0	root
5	para	ADP	7	case
6	el	DET	7	det
7	recuerdo	NOUN	4	obl
8	la	DET	9	det
9	goleada	NOUN	4	obj
10	de	ADP	12	case
11	la	DET	12	det
12	Real	PROPN	9	nmod
13	Sociedad	PROPN	12	flat
14	sobre	ADP	16	case
15	el	DET	16	det
16	Athletic	PROPN	9	nmod
17	(	PUNCT	18	punct
18	4-1	NUM	9	appos
19	)	PUNCT	18	punct
20	en	ADP	22	case
21	el	DET	22	det
22	duelo	NOUN	9	nmod
23	vasco	ADJ	22	amod
24	y	CCONJ	27	cc
25	un	DET	27	det
26	nuevo	ADJ	27	amod
27	tropiezo	NOUN	9	conj
28	del	ADP	29	case
29	Atlético	PROPN	27	nmod
30	de	ADP	31	case
31	Madrid	PROPN	29	flat
32	,	PUNCT	34	punct
33	esta	DET	34	det
34	vez	NOUN	27	nmod
35	en	ADP	34	case
36	casa	NOUN	34	nmod
37	frente	NOUN	39	case
38	al	ADP	37	fixed
39	Málaga	PROPN	27	nmod
40	(	PUNCT	41	punct
41	2-2	NUM	27	appos
42	)	PUNCT	41	punct
43	.	PUNCT	4	punct