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:
López de Lerma ha destacado que CiU ha mantenido el porcentaje de votos "con tendencia al alza", que el PP ha subido y que "el PSC ha pinchado" porque ha obtenido muchos menos votos.
Postion	Tokenization
1	López
2	de
3	Lerma
4	ha
5	destacado
6	que
7	CiU
8	ha
9	mantenido
10	el
11	porcentaje
12	de
13	votos
14	"
15	con
16	tendencia
17	al
18	alza
19	"
20	,
21	que
22	el
23	PP
24	ha
25	subido
26	y
27	que
28	"
29	el
30	PSC
31	ha
32	pinchado
33	"
34	porque
35	ha
36	obtenido
37	muchos
38	menos
39	votos
40	.
Position	Tokenization	UPOS	Head	Deprel
1	López	PROPN	5	nsubj
2	de	ADP	3	case
3	Lerma	PROPN	1	flat
4	ha	AUX	5	aux
5	destacado	VERB	0	root
6	que	SCONJ	9	mark
7	CiU	PROPN	9	nsubj
8	ha	AUX	9	aux
9	mantenido	VERB	5	ccomp
10	el	DET	11	det
11	porcentaje	NOUN	9	obj
12	de	ADP	13	case
13	votos	NOUN	11	nmod
14	"	PUNCT	16	punct
15	con	ADP	16	case
16	tendencia	NOUN	9	obl
17	al	ADP	18	case
18	alza	NOUN	16	nmod
19	"	PUNCT	16	punct
20	,	PUNCT	25	punct
21	que	SCONJ	25	mark
22	el	DET	23	det
23	PP	PROPN	25	nsubj
24	ha	AUX	25	aux
25	subido	VERB	9	advcl
26	y	CCONJ	32	cc
27	que	SCONJ	32	mark
28	"	PUNCT	32	punct
29	el	DET	30	det
30	PSC	PROPN	32	nsubj
31	ha	AUX	32	aux
32	pinchado	VERB	9	conj
33	"	PUNCT	32	punct
34	porque	SCONJ	36	mark
35	ha	AUX	36	aux
36	obtenido	VERB	32	advcl
37	muchos	DET	39	det
38	menos	ADV	37	advmod
39	votos	NOUN	36	obj
40	.	PUNCT	5	punct