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 secretario de Libertades Públicas del PSOE, Juan Fernando López Aguilar, advirtió ayer de que su partido "vigilará" la aplicación por parte del Gobierno del pacto de Estado para la reforma de la justicia.
Postion	Tokenization
1	El
2	secretario
3	de
4	Libertades
5	Públicas
6	del
7	PSOE
8	,
9	Juan
10	Fernando
11	López
12	Aguilar
13	,
14	advirtió
15	ayer
16	de
17	que
18	su
19	partido
20	"
21	vigilará
22	"
23	la
24	aplicación
25	por
26	parte
27	del
28	Gobierno
29	del
30	pacto
31	de
32	Estado
33	para
34	la
35	reforma
36	de
37	la
38	justicia
39	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	secretario	NOUN	14	nsubj
3	de	ADP	4	case
4	Libertades	PROPN	2	nmod
5	Públicas	PROPN	4	flat
6	del	ADP	7	case
7	PSOE	PROPN	4	nmod
8	,	PUNCT	9	punct
9	Juan	PROPN	2	appos
10	Fernando	PROPN	9	flat
11	López	PROPN	9	flat
12	Aguilar	PROPN	9	flat
13	,	PUNCT	9	punct
14	advirtió	VERB	0	root
15	ayer	ADV	14	advmod
16	de	ADP	21	mark
17	que	SCONJ	21	mark
18	su	DET	19	det
19	partido	NOUN	21	nsubj
20	"	PUNCT	21	punct
21	vigilará	VERB	14	ccomp
22	"	PUNCT	21	punct
23	la	DET	24	det
24	aplicación	NOUN	21	obj
25	por	ADP	28	case
26	parte	NOUN	25	fixed
27	del	ADP	25	fixed
28	Gobierno	PROPN	24	nmod
29	del	ADP	30	case
30	pacto	NOUN	24	nmod
31	de	ADP	32	case
32	Estado	PROPN	30	nmod
33	para	ADP	35	case
34	la	DET	35	det
35	reforma	NOUN	30	nmod
36	de	ADP	38	case
37	la	DET	38	det
38	justicia	NOUN	35	nmod
39	.	PUNCT	14	punct