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 líder del PSC-PSOE se mostró también satisfecho por la inclusión en el comité ejecutivo del partido de Rosa Inés García y Angel Duque.
Postion	Tokenization
1	El
2	líder
3	del
4	PSC-PSOE
5	se
6	mostró
7	también
8	satisfecho
9	por
10	la
11	inclusión
12	en
13	el
14	comité
15	ejecutivo
16	del
17	partido
18	de
19	Rosa
20	Inés
21	García
22	y
23	Angel
24	Duque
25	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	líder	NOUN	6	nsubj
3	del	ADP	4	case
4	PSC-PSOE	PROPN	2	nmod
5	se	PRON	6	expl:pv
6	mostró	VERB	0	root
7	también	ADV	6	advmod
8	satisfecho	ADJ	6	obj
9	por	ADP	11	case
10	la	DET	11	det
11	inclusión	NOUN	8	obj
12	en	ADP	14	case
13	el	DET	14	det
14	comité	NOUN	11	nmod
15	ejecutivo	ADJ	14	amod
16	del	ADP	17	case
17	partido	NOUN	14	nmod
18	de	ADP	19	case
19	Rosa	PROPN	11	nmod
20	Inés	PROPN	19	flat
21	García	PROPN	19	flat
22	y	CCONJ	23	cc
23	Angel	PROPN	19	conj
24	Duque	PROPN	23	flat
25	.	PUNCT	6	punct