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:
Respecto a las compañías españolas presentes en Argentina y que están "perdiendo dinero", ironizó: "Más que presionar, lloran".
Postion	Tokenization
1	Respecto
2	a
3	las
4	compañías
5	españolas
6	presentes
7	en
8	Argentina
9	y
10	que
11	están
12	"
13	perdiendo
14	dinero
15	"
16	,
17	ironizó
18	:
19	"
20	Más
21	que
22	presionar
23	,
24	lloran
25	"
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Respecto	NOUN	4	case
2	a	ADP	1	fixed
3	las	DET	4	det
4	compañías	NOUN	17	obl
5	españolas	ADJ	4	amod
6	presentes	ADJ	4	amod
7	en	ADP	8	case
8	Argentina	PROPN	6	nmod
9	y	CCONJ	13	cc
10	que	PRON	13	nsubj
11	están	AUX	13	aux
12	"	PUNCT	13	punct
13	perdiendo	VERB	6	conj
14	dinero	NOUN	13	obj
15	"	PUNCT	14	punct
16	,	PUNCT	4	punct
17	ironizó	VERB	0	root
18	:	PUNCT	24	punct
19	"	PUNCT	24	punct
20	Más	ADV	22	mark
21	que	SCONJ	20	fixed
22	presionar	VERB	24	advcl
23	,	PUNCT	22	punct
24	lloran	VERB	17	advcl
25	"	PUNCT	24	punct
26	.	PUNCT	17	punct