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 ex secretario general de la Presidència explica en L'ombra del poder sus experiencias en la Generalitat, de las que recuerda que en muchas actuaciones actuó de "pararrayos" de Jordi Pujol.
Postion	Tokenization
1	El
2	ex
3	secretario
4	general
5	de
6	la
7	Presidència
8	explica
9	en
10	L'ombra
11	del
12	poder
13	sus
14	experiencias
15	en
16	la
17	Generalitat
18	,
19	de
20	las
21	que
22	recuerda
23	que
24	en
25	muchas
26	actuaciones
27	actuó
28	de
29	"
30	pararrayos
31	"
32	de
33	Jordi
34	Pujol
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	ex	ADJ	3	amod
3	secretario	NOUN	8	nsubj
4	general	ADJ	3	amod
5	de	ADP	7	case
6	la	DET	7	det
7	Presidència	PROPN	3	nmod
8	explica	VERB	0	root
9	en	ADP	10	case
10	L'ombra	PROPN	8	obl
11	del	ADP	12	case
12	poder	PROPN	10	flat
13	sus	DET	14	det
14	experiencias	NOUN	8	obj
15	en	ADP	17	case
16	la	DET	17	det
17	Generalitat	PROPN	14	nmod
18	,	PUNCT	22	punct
19	de	ADP	21	case
20	las	DET	21	det
21	que	PRON	22	obl
22	recuerda	VERB	14	acl
23	que	SCONJ	27	mark
24	en	ADP	26	case
25	muchas	DET	26	det
26	actuaciones	NOUN	27	obl
27	actuó	VERB	22	ccomp
28	de	ADP	30	case
29	"	PUNCT	30	punct
30	pararrayos	NOUN	27	obl
31	"	PUNCT	30	punct
32	de	ADP	33	case
33	Jordi	PROPN	30	nmod
34	Pujol	PROPN	33	flat
35	.	PUNCT	8	punct