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 Betis de Guus Hiddink no pudo pasar del empate en casa ante el Celta (0-0) y aumentó a seis el número de jornadas consecutivas que lleva sin ganar.
Postion	Tokenization
1	El
2	Betis
3	de
4	Guus
5	Hiddink
6	no
7	pudo
8	pasar
9	del
10	empate
11	en
12	casa
13	ante
14	el
15	Celta
16	(
17	0-0
18	)
19	y
20	aumentó
21	a
22	seis
23	el
24	número
25	de
26	jornadas
27	consecutivas
28	que
29	lleva
30	sin
31	ganar
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Betis	PROPN	8	nsubj
3	de	ADP	4	case
4	Guus	PROPN	2	nmod
5	Hiddink	PROPN	4	flat
6	no	ADV	8	advmod
7	pudo	AUX	8	aux
8	pasar	VERB	0	root
9	del	ADP	10	case
10	empate	NOUN	8	obl
11	en	ADP	12	case
12	casa	NOUN	10	nmod
13	ante	ADP	15	case
14	el	DET	15	det
15	Celta	PROPN	10	nmod
16	(	PUNCT	17	punct
17	0-0	NUM	10	appos
18	)	PUNCT	17	punct
19	y	CCONJ	20	cc
20	aumentó	VERB	8	conj
21	a	ADP	22	case
22	seis	NUM	20	obl
23	el	DET	24	det
24	número	NOUN	20	obj
25	de	ADP	26	case
26	jornadas	NOUN	24	nmod
27	consecutivas	ADJ	26	amod
28	que	PRON	29	obj
29	lleva	VERB	26	acl
30	sin	ADP	31	mark
31	ganar	VERB	29	advcl
32	.	PUNCT	8	punct