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:
Luis Aragonés, entrenador del Oviedo, no pudo celebrar su partido número 1.000 en la Primera División española - 360 como jugador y 640 como técnico - con un buen resultado.
Postion	Tokenization
1	Luis
2	Aragonés
3	,
4	entrenador
5	del
6	Oviedo
7	,
8	no
9	pudo
10	celebrar
11	su
12	partido
13	número
14	1.000
15	en
16	la
17	Primera
18	División
19	española
20	-
21	360
22	como
23	jugador
24	y
25	640
26	como
27	técnico
28	-
29	con
30	un
31	buen
32	resultado
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Luis	PROPN	10	nsubj
2	Aragonés	PROPN	1	flat
3	,	PUNCT	4	punct
4	entrenador	NOUN	1	appos
5	del	ADP	6	case
6	Oviedo	PROPN	4	nmod
7	,	PUNCT	4	punct
8	no	ADV	10	advmod
9	pudo	AUX	10	aux
10	celebrar	VERB	0	root
11	su	DET	12	det
12	partido	NOUN	10	obj
13	número	NOUN	12	appos
14	1.000	NUM	13	nummod
15	en	ADP	17	case
16	la	DET	17	det
17	Primera	PROPN	12	nmod
18	División	PROPN	17	flat
19	española	ADJ	17	amod
20	-	PUNCT	21	punct
21	360	NUM	12	dep
22	como	SCONJ	23	mark
23	jugador	NOUN	21	nmod
24	y	CCONJ	25	cc
25	640	NUM	21	conj
26	como	SCONJ	27	mark
27	técnico	NOUN	25	nmod
28	-	PUNCT	21	punct
29	con	ADP	32	case
30	un	DET	32	det
31	buen	ADJ	32	amod
32	resultado	NOUN	10	obl
33	.	PUNCT	10	punct