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:
Aitor Larrazábal, defensa del Athletic, disputó su partido número 300 en Primera, pero no guardará un buen recuerdo, ya que, además de la derrota de su equipo, fue expulsado por doble amonestación.
Postion	Tokenization
1	Aitor
2	Larrazábal
3	,
4	defensa
5	del
6	Athletic
7	,
8	disputó
9	su
10	partido
11	número
12	300
13	en
14	Primera
15	,
16	pero
17	no
18	guardará
19	un
20	buen
21	recuerdo
22	,
23	ya
24	que
25	,
26	además
27	de
28	la
29	derrota
30	de
31	su
32	equipo
33	,
34	fue
35	expulsado
36	por
37	doble
38	amonestación
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Aitor	PROPN	8	nsubj
2	Larrazábal	PROPN	1	flat
3	,	PUNCT	4	punct
4	defensa	NOUN	1	appos
5	del	ADP	6	case
6	Athletic	PROPN	4	nmod
7	,	PUNCT	4	punct
8	disputó	VERB	0	root
9	su	DET	10	det
10	partido	NOUN	8	obj
11	número	NOUN	10	appos
12	300	NUM	11	flat
13	en	ADP	14	case
14	Primera	PROPN	8	obl
15	,	PUNCT	18	punct
16	pero	CCONJ	18	cc
17	no	ADV	18	advmod
18	guardará	VERB	8	conj
19	un	DET	21	det
20	buen	ADJ	21	amod
21	recuerdo	NOUN	18	obj
22	,	PUNCT	35	punct
23	ya	ADV	35	mark
24	que	SCONJ	23	fixed
25	,	PUNCT	26	punct
26	además	ADV	35	advmod
27	de	ADP	29	case
28	la	DET	29	det
29	derrota	NOUN	26	obl
30	de	ADP	32	case
31	su	DET	32	det
32	equipo	NOUN	29	nmod
33	,	PUNCT	26	punct
34	fue	AUX	35	aux
35	expulsado	VERB	18	advcl
36	por	ADP	38	case
37	doble	NUM	38	nummod
38	amonestación	NOUN	35	obl
39	.	PUNCT	8	punct