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 presidente justificó el acuerdo alcanzado con el comisario el pasado viernes en París, y aseguró que añadirá valor a la compañía.
Postion	Tokenization
1	El
2	presidente
3	justificó
4	el
5	acuerdo
6	alcanzado
7	con
8	el
9	comisario
10	el
11	pasado
12	viernes
13	en
14	París
15	,
16	y
17	aseguró
18	que
19	añadirá
20	valor
21	a
22	la
23	compañía
24	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	3	nsubj
3	justificó	VERB	0	root
4	el	DET	5	det
5	acuerdo	NOUN	3	obj
6	alcanzado	ADJ	5	amod
7	con	ADP	9	case
8	el	DET	9	det
9	comisario	NOUN	6	obl
10	el	DET	12	det
11	pasado	ADJ	12	amod
12	viernes	NOUN	6	obl
13	en	ADP	14	case
14	París	PROPN	6	obl
15	,	PUNCT	17	punct
16	y	CCONJ	17	cc
17	aseguró	VERB	3	conj
18	que	SCONJ	19	mark
19	añadirá	VERB	17	ccomp
20	valor	NOUN	19	obj
21	a	ADP	23	case
22	la	DET	23	det
23	compañía	NOUN	19	obj
24	.	PUNCT	3	punct