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 Barcelona echó por tierra la mayoría de sus opciones de ganar el título de Liga por tercera vez consecutiva al caer derrotado en Oviedo por 3-0, un resultado al que parece abonado el equipo de Louis van Gaal.
Postion	Tokenization
1	El
2	Barcelona
3	echó
4	por
5	tierra
6	la
7	mayoría
8	de
9	sus
10	opciones
11	de
12	ganar
13	el
14	título
15	de
16	Liga
17	por
18	tercera
19	vez
20	consecutiva
21	al
22	caer
23	derrotado
24	en
25	Oviedo
26	por
27	3-0
28	,
29	un
30	resultado
31	al
32	que
33	parece
34	abonado
35	el
36	equipo
37	de
38	Louis
39	van
40	Gaal
41	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Barcelona	PROPN	3	nsubj
3	echó	VERB	0	root
4	por	ADP	5	case
5	tierra	NOUN	3	compound
6	la	DET	7	det
7	mayoría	NOUN	10	nmod
8	de	ADP	7	case
9	sus	DET	7	det
10	opciones	NOUN	3	obj
11	de	ADP	12	mark
12	ganar	VERB	10	acl
13	el	DET	14	det
14	título	NOUN	12	obj
15	de	ADP	16	case
16	Liga	PROPN	14	nmod
17	por	ADP	19	case
18	tercera	ADJ	19	amod
19	vez	NOUN	12	obl
20	consecutiva	ADJ	19	amod
21	al	ADP	23	case
22	caer	VERB	3	advcl
23	derrotado	ADJ	22	xcomp
24	en	ADP	25	case
25	Oviedo	PROPN	22	obl
26	por	ADP	27	case
27	3-0	NUM	22	obl
28	,	PUNCT	30	punct
29	un	DET	30	det
30	resultado	NOUN	27	appos
31	al	ADP	32	case
32	que	PRON	33	obj
33	parece	VERB	30	acl
34	abonado	ADJ	33	xcomp
35	el	DET	36	det
36	equipo	NOUN	33	nsubj
37	de	ADP	38	case
38	Louis	PROPN	36	nmod
39	van	PROPN	38	flat
40	Gaal	PROPN	38	flat
41	.	PUNCT	3	punct