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:
En el mismo acto electoral, Maragall ha expresado la preocupación de su partido por la "hemorragia" de actividad económica que se traslada desde Cataluña a Madrid y ha pedido a Almunia que, si es presidente del Gobierno intente "rectificar estas estrategias porque tampoco en esto, España no debe ser monopolística sino plural".
Postion	Tokenization
1	En
2	el
3	mismo
4	acto
5	electoral
6	,
7	Maragall
8	ha
9	expresado
10	la
11	preocupación
12	de
13	su
14	partido
15	por
16	la
17	"
18	hemorragia
19	"
20	de
21	actividad
22	económica
23	que
24	se
25	traslada
26	desde
27	Cataluña
28	a
29	Madrid
30	y
31	ha
32	pedido
33	a
34	Almunia
35	que
36	,
37	si
38	es
39	presidente
40	del
41	Gobierno
42	intente
43	"
44	rectificar
45	estas
46	estrategias
47	porque
48	tampoco
49	en
50	esto
51	,
52	España
53	no
54	debe
55	ser
56	monopolística
57	sino
58	plural
59	"
60	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	el	DET	4	det
3	mismo	DET	2	det
4	acto	NOUN	9	obl
5	electoral	ADJ	4	amod
6	,	PUNCT	4	punct
7	Maragall	PROPN	9	nsubj
8	ha	AUX	9	aux
9	expresado	VERB	0	root
10	la	DET	11	det
11	preocupación	NOUN	9	obj
12	de	ADP	14	case
13	su	DET	14	det
14	partido	NOUN	11	nmod
15	por	ADP	18	case
16	la	DET	18	det
17	"	PUNCT	18	punct
18	hemorragia	NOUN	11	nmod
19	"	PUNCT	18	punct
20	de	ADP	21	case
21	actividad	NOUN	18	nmod
22	económica	ADJ	21	amod
23	que	PRON	25	nsubj
24	se	PRON	25	expl:pass
25	traslada	VERB	21	acl
26	desde	ADP	27	case
27	Cataluña	PROPN	25	obl
28	a	ADP	29	case
29	Madrid	PROPN	25	obl
30	y	CCONJ	32	cc
31	ha	AUX	32	aux
32	pedido	VERB	9	conj
33	a	ADP	34	case
34	Almunia	PROPN	32	iobj
35	que	SCONJ	42	mark
36	,	PUNCT	39	punct
37	si	SCONJ	39	mark
38	es	AUX	39	cop
39	presidente	NOUN	42	advcl
40	del	ADP	41	case
41	Gobierno	PROPN	39	nmod
42	intente	VERB	32	ccomp
43	"	PUNCT	44	punct
44	rectificar	VERB	42	xcomp
45	estas	DET	46	det
46	estrategias	NOUN	44	obj
47	porque	SCONJ	44	mark
48	tampoco	ADV	44	advmod
49	en	ADP	50	case
50	esto	PRON	44	obl
51	,	PUNCT	50	punct
52	España	PROPN	44	nsubj
53	no	ADV	44	advmod
54	debe	AUX	44	aux
55	ser	AUX	56	cop
56	monopolística	ADJ	44	xcomp
57	sino	CCONJ	58	cc
58	plural	ADJ	56	conj
59	"	PUNCT	44	punct
60	.	PUNCT	9	punct