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:
La Autoridad Antimonopolios de Italia impuso ayer una supermulta de casi 70.000 millones de pesetas a 38 compañías de seguros por haberse puesto de acuerdo en el establecimiento de sus tarifas.
Postion	Tokenization
1	La
2	Autoridad
3	Antimonopolios
4	de
5	Italia
6	impuso
7	ayer
8	una
9	supermulta
10	de
11	casi
12	70.000
13	millones
14	de
15	pesetas
16	a
17	38
18	compañías
19	de
20	seguros
21	por
22	haberse
23	haber
24	se
25	puesto
26	de
27	acuerdo
28	en
29	el
30	establecimiento
31	de
32	sus
33	tarifas
34	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Autoridad	PROPN	6	nsubj
3	Antimonopolios	PROPN	2	flat
4	de	ADP	5	case
5	Italia	PROPN	2	nmod
6	impuso	VERB	0	root
7	ayer	ADV	6	advmod
8	una	DET	9	det
9	supermulta	NOUN	6	obj
10	de	ADP	13	case
11	casi	ADV	13	advmod
12	70.000	NUM	11	nummod
13	millones	NOUN	9	nmod
14	de	ADP	15	case
15	pesetas	NOUN	13	nmod
16	a	ADP	18	case
17	38	NUM	18	nummod
18	compañías	NOUN	6	obj
19	de	ADP	20	case
20	seguros	NOUN	18	nmod
21	por	ADP	24	mark
22	haberse	_	None	_
23	haber	AUX	24	aux
24	se	PRON	24	obj
25	puesto	VERB	6	advcl
26	de	ADP	24	advmod
27	acuerdo	NOUN	25	fixed
28	en	ADP	29	case
29	el	DET	29	det
30	establecimiento	NOUN	24	obj
31	de	ADP	32	case
32	sus	DET	32	det
33	tarifas	NOUN	29	nmod
34	.	PUNCT	6	punct