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:
"Altadis, Telepizza y Picking Pack han intentado dejar las cargas negativas a cero en el último ejercicio", dice Natalia Aguirre, de Renta 4.
Postion	Tokenization
1	"
2	Altadis
3	,
4	Telepizza
5	y
6	Picking
7	Pack
8	han
9	intentado
10	dejar
11	las
12	cargas
13	negativas
14	a
15	cero
16	en
17	el
18	último
19	ejercicio
20	"
21	,
22	dice
23	Natalia
24	Aguirre
25	,
26	de
27	Renta
28	4
29	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	9	punct
2	Altadis	PROPN	9	nsubj
3	,	PUNCT	4	punct
4	Telepizza	PROPN	2	conj
5	y	CCONJ	6	cc
6	Picking	PROPN	2	conj
7	Pack	PROPN	6	flat
8	han	AUX	9	aux
9	intentado	VERB	22	ccomp
10	dejar	VERB	9	xcomp
11	las	DET	12	det
12	cargas	NOUN	10	obj
13	negativas	ADJ	12	amod
14	a	ADP	15	case
15	cero	NOUN	10	obl
16	en	ADP	19	case
17	el	DET	19	det
18	último	ADJ	19	amod
19	ejercicio	NOUN	10	obl
20	"	PUNCT	9	punct
21	,	PUNCT	9	punct
22	dice	VERB	0	root
23	Natalia	PROPN	22	nsubj
24	Aguirre	PROPN	23	flat
25	,	PUNCT	27	punct
26	de	ADP	27	case
27	Renta	PROPN	23	nmod
28	4	NUM	27	nummod
29	.	PUNCT	22	punct