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:
Machinea dijo que las autoridades intentan buscar ahora una fórmula para modificar esos contratos con las empresas de servicios públicos, varias de ellas controladas por capitales españoles.
Postion	Tokenization
1	Machinea
2	dijo
3	que
4	las
5	autoridades
6	intentan
7	buscar
8	ahora
9	una
10	fórmula
11	para
12	modificar
13	esos
14	contratos
15	con
16	las
17	empresas
18	de
19	servicios
20	públicos
21	,
22	varias
23	de
24	ellas
25	controladas
26	por
27	capitales
28	españoles
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Machinea	PROPN	2	nsubj
2	dijo	VERB	0	root
3	que	SCONJ	6	mark
4	las	DET	5	det
5	autoridades	NOUN	6	nsubj
6	intentan	VERB	2	ccomp
7	buscar	VERB	6	xcomp
8	ahora	ADV	7	advmod
9	una	DET	10	det
10	fórmula	NOUN	7	obj
11	para	ADP	12	mark
12	modificar	VERB	10	acl
13	esos	DET	14	det
14	contratos	NOUN	12	obj
15	con	ADP	17	case
16	las	DET	17	det
17	empresas	NOUN	14	nmod
18	de	ADP	19	case
19	servicios	NOUN	17	nmod
20	públicos	ADJ	19	amod
21	,	PUNCT	22	punct
22	varias	PRON	17	appos
23	de	ADP	24	case
24	ellas	PRON	22	nmod
25	controladas	ADJ	22	amod
26	por	ADP	27	case
27	capitales	NOUN	25	obj
28	españoles	ADJ	27	amod
29	.	PUNCT	2	punct