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:
La remontada del Espanyol, que hace tan sólo un mes se encontraba a un punto del descenso, ha venido propiciada en las últimas cuatro jornadas, donde ha conseguido 10 puntos de los 12 posibles, ha ganado dos partidos consecutivos por primera vez en toda la segunda vuelta y ganó un partido a domicilio, al Mallorca el pasado domingo, después de más de dos meses sin hacerlo.
Postion	Tokenization
1	La
2	remontada
3	del
4	Espanyol
5	,
6	que
7	hace
8	tan
9	sólo
10	un
11	mes
12	se
13	encontraba
14	a
15	un
16	punto
17	del
18	descenso
19	,
20	ha
21	venido
22	propiciada
23	en
24	las
25	últimas
26	cuatro
27	jornadas
28	,
29	donde
30	ha
31	conseguido
32	10
33	puntos
34	de
35	los
36	12
37	posibles
38	,
39	ha
40	ganado
41	dos
42	partidos
43	consecutivos
44	por
45	primera
46	vez
47	en
48	toda
49	la
50	segunda
51	vuelta
52	y
53	ganó
54	un
55	partido
56	a
57	domicilio
58	,
59	al
60	Mallorca
61	el
62	pasado
63	domingo
64	,
65	después
66	de
67	más
68	de
69	dos
70	meses
71	sin
72	hacerlo
73	hacer
74	lo
75	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	remontada	ADJ	21	nsubj
3	del	ADP	4	case
4	Espanyol	PROPN	2	nmod
5	,	PUNCT	13	punct
6	que	PRON	13	nsubj
7	hace	VERB	13	advcl
8	tan	ADV	11	advmod
9	sólo	ADV	11	advmod
10	un	DET	11	det
11	mes	NOUN	7	obj
12	se	PRON	13	expl:pv
13	encontraba	VERB	4	acl
14	a	ADP	16	case
15	un	DET	16	det
16	punto	NOUN	13	obl
17	del	ADP	18	case
18	descenso	NOUN	16	nmod
19	,	PUNCT	13	punct
20	ha	AUX	21	aux
21	venido	VERB	0	root
22	propiciada	ADJ	21	obj
23	en	ADP	27	case
24	las	DET	27	det
25	últimas	ADJ	24	amod
26	cuatro	NUM	24	nummod
27	jornadas	NOUN	22	obl
28	,	PUNCT	31	punct
29	donde	PRON	31	obl
30	ha	AUX	31	aux
31	conseguido	VERB	27	acl
32	10	NUM	33	nummod
33	puntos	NOUN	31	obj
34	de	ADP	36	case
35	los	DET	36	det
36	12	NUM	33	nummod
37	posibles	ADJ	36	amod
38	,	PUNCT	40	punct
39	ha	AUX	40	aux
40	ganado	VERB	31	advcl
41	dos	NUM	42	nummod
42	partidos	NOUN	40	obj
43	consecutivos	ADJ	42	amod
44	por	ADP	46	case
45	primera	ADJ	46	amod
46	vez	NOUN	40	obl
47	en	ADP	51	case
48	toda	DET	49	det
49	la	DET	51	det
50	segunda	ADJ	51	amod
51	vuelta	NOUN	46	nmod
52	y	CCONJ	53	cc
53	ganó	VERB	31	conj
54	un	DET	55	det
55	partido	NOUN	53	obj
56	a	ADP	57	case
57	domicilio	NOUN	55	nmod
58	,	PUNCT	60	punct
59	al	ADP	60	case
60	Mallorca	PROPN	53	obj
61	el	DET	63	det
62	pasado	ADJ	63	amod
63	domingo	NOUN	53	obl
64	,	PUNCT	65	punct
65	después	ADV	53	advmod
66	de	ADP	70	case
67	más	ADV	69	advmod
68	de	ADP	69	case
69	dos	NUM	70	nummod
70	meses	NOUN	65	obl
71	sin	ADP	72	mark
72	hacerlo	_	None	_
73	hacer	VERB	70	acl
74	lo	PRON	72	obj
75	.	PUNCT	21	punct