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 PP ha carecido de sensibilidad comercial", afirmó ayer el vicepresidente de comercio de la patronal Pimecsefes, Jaume Villa.
Postion	Tokenization
1	"
2	El
3	PP
4	ha
5	carecido
6	de
7	sensibilidad
8	comercial
9	"
10	,
11	afirmó
12	ayer
13	el
14	vicepresidente
15	de
16	comercio
17	de
18	la
19	patronal
20	Pimecsefes
21	,
22	Jaume
23	Villa
24	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	El	DET	3	det
3	PP	PROPN	5	nsubj
4	ha	AUX	5	aux
5	carecido	VERB	11	ccomp
6	de	ADP	7	case
7	sensibilidad	NOUN	5	obj
8	comercial	ADJ	7	amod
9	"	PUNCT	5	punct
10	,	PUNCT	5	punct
11	afirmó	VERB	0	root
12	ayer	ADV	11	advmod
13	el	DET	14	det
14	vicepresidente	NOUN	11	nsubj
15	de	ADP	16	case
16	comercio	NOUN	14	nmod
17	de	ADP	19	case
18	la	DET	19	det
19	patronal	NOUN	14	nmod
20	Pimecsefes	PROPN	19	appos
21	,	PUNCT	22	punct
22	Jaume	PROPN	14	appos
23	Villa	PROPN	22	flat
24	.	PUNCT	11	punct