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 Espanyol goleó al Betis (3-0), ascendió al séptimo puesto de la clasificación y envió a zona de descenso a un equipo andaluz que encadena nueve jornadas sin conocer la victoria.
Postion	Tokenization
1	El
2	Espanyol
3	goleó
4	al
5	Betis
6	(
7	3-0
8	)
9	,
10	ascendió
11	al
12	séptimo
13	puesto
14	de
15	la
16	clasificación
17	y
18	envió
19	a
20	zona
21	de
22	descenso
23	a
24	un
25	equipo
26	andaluz
27	que
28	encadena
29	nueve
30	jornadas
31	sin
32	conocer
33	la
34	victoria
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Espanyol	PROPN	3	nsubj
3	goleó	VERB	0	root
4	al	ADP	5	case
5	Betis	PROPN	3	obj
6	(	PUNCT	7	punct
7	3-0	NUM	3	dep
8	)	PUNCT	7	punct
9	,	PUNCT	10	punct
10	ascendió	VERB	3	advcl
11	al	ADP	13	case
12	séptimo	ADJ	13	amod
13	puesto	NOUN	10	obj
14	de	ADP	16	case
15	la	DET	16	det
16	clasificación	NOUN	13	nmod
17	y	CCONJ	18	cc
18	envió	VERB	3	conj
19	a	ADP	20	case
20	zona	NOUN	18	obl
21	de	ADP	22	case
22	descenso	NOUN	20	nmod
23	a	ADP	25	case
24	un	DET	25	det
25	equipo	NOUN	18	obj
26	andaluz	ADJ	25	amod
27	que	PRON	28	nsubj
28	encadena	VERB	25	acl
29	nueve	NUM	30	nummod
30	jornadas	NOUN	28	obj
31	sin	ADP	32	mark
32	conocer	VERB	28	advcl
33	la	DET	34	det
34	victoria	NOUN	32	obj
35	.	PUNCT	3	punct