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:
"Esto significa que no hemos perdido fuerzas sino que al bajar tanto el PSC ha propiciado que el PP ganara un escaño a costa nuestra", según López de Lerma, que ha afirmado que CiU se ha mantenido en la provincia de Girona.
Postion	Tokenization
1	"
2	Esto
3	significa
4	que
5	no
6	hemos
7	perdido
8	fuerzas
9	sino
10	que
11	al
12	bajar
13	tanto
14	el
15	PSC
16	ha
17	propiciado
18	que
19	el
20	PP
21	ganara
22	un
23	escaño
24	a
25	costa
26	nuestra
27	"
28	,
29	según
30	López
31	de
32	Lerma
33	,
34	que
35	ha
36	afirmado
37	que
38	CiU
39	se
40	ha
41	mantenido
42	en
43	la
44	provincia
45	de
46	Girona
47	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Esto	PRON	3	nsubj
3	significa	VERB	0	root
4	que	SCONJ	7	mark
5	no	ADV	7	advmod
6	hemos	AUX	7	aux
7	perdido	VERB	3	ccomp
8	fuerzas	NOUN	7	obj
9	sino	CCONJ	17	cc
10	que	SCONJ	9	fixed
11	al	ADP	12	mark
12	bajar	VERB	17	advcl
13	tanto	ADV	12	advmod
14	el	DET	15	det
15	PSC	PROPN	12	nsubj
16	ha	AUX	17	aux
17	propiciado	VERB	7	conj
18	que	SCONJ	21	mark
19	el	DET	20	det
20	PP	PROPN	21	nsubj
21	ganara	VERB	17	ccomp
22	un	DET	23	det
23	escaño	NOUN	21	obj
24	a	ADP	26	case
25	costa	NOUN	24	fixed
26	nuestra	PRON	21	obl
27	"	PUNCT	3	punct
28	,	PUNCT	30	punct
29	según	SCONJ	30	mark
30	López	PROPN	3	obl
31	de	ADP	32	case
32	Lerma	PROPN	30	flat
33	,	PUNCT	36	punct
34	que	PRON	36	nsubj
35	ha	AUX	36	aux
36	afirmado	VERB	30	acl
37	que	SCONJ	41	mark
38	CiU	PROPN	41	nsubj
39	se	PRON	41	obj
40	ha	AUX	41	aux
41	mantenido	VERB	36	ccomp
42	en	ADP	44	case
43	la	DET	44	det
44	provincia	NOUN	41	obl
45	de	ADP	46	case
46	Girona	PROPN	44	nmod
47	.	PUNCT	3	punct