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:
Jorge Pérez Arias, en su intervención, argumentó la tesis de la Federación, que difería notablemente una vez más de la de Gaspart.
Postion	Tokenization
1	Jorge
2	Pérez
3	Arias
4	,
5	en
6	su
7	intervención
8	,
9	argumentó
10	la
11	tesis
12	de
13	la
14	Federación
15	,
16	que
17	difería
18	notablemente
19	una
20	vez
21	más
22	de
23	la
24	de
25	Gaspart
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Jorge	PROPN	9	nsubj
2	Pérez	PROPN	1	flat
3	Arias	PROPN	1	flat
4	,	PUNCT	7	punct
5	en	ADP	7	case
6	su	DET	7	det
7	intervención	NOUN	9	obl
8	,	PUNCT	7	punct
9	argumentó	VERB	0	root
10	la	DET	11	det
11	tesis	NOUN	9	obj
12	de	ADP	14	case
13	la	DET	14	det
14	Federación	PROPN	11	nmod
15	,	PUNCT	17	punct
16	que	PRON	17	nsubj
17	difería	VERB	11	acl
18	notablemente	ADV	17	advmod
19	una	DET	20	det
20	vez	NOUN	17	obl
21	más	ADV	20	advmod
22	de	ADP	23	case
23	la	DET	17	det
24	de	ADP	23	case
25	Gaspart	PROPN	23	obl
26	.	PUNCT	9	punct