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 vida de Freeman se ha visto alterada por la fama, las cámaras y las entrevistas por su estelar participación en la Ceremonia Inaugural; la de Perec se ha mantenido en el anonimato de los entrenamientos.
Postion	Tokenization
1	La
2	vida
3	de
4	Freeman
5	se
6	ha
7	visto
8	alterada
9	por
10	la
11	fama
12	,
13	las
14	cámaras
15	y
16	las
17	entrevistas
18	por
19	su
20	estelar
21	participación
22	en
23	la
24	Ceremonia
25	Inaugural
26	;
27	la
28	de
29	Perec
30	se
31	ha
32	mantenido
33	en
34	el
35	anonimato
36	de
37	los
38	entrenamientos
39	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	vida	NOUN	7	nsubj
3	de	ADP	4	case
4	Freeman	PROPN	2	nmod
5	se	PRON	7	expl:pv
6	ha	AUX	7	aux
7	visto	VERB	0	root
8	alterada	ADJ	7	obj
9	por	ADP	11	case
10	la	DET	11	det
11	fama	NOUN	8	obl
12	,	PUNCT	14	punct
13	las	DET	14	det
14	cámaras	NOUN	11	appos
15	y	CCONJ	17	cc
16	las	DET	17	det
17	entrevistas	NOUN	11	conj
18	por	ADP	21	case
19	su	DET	21	det
20	estelar	ADJ	21	amod
21	participación	NOUN	17	nmod
22	en	ADP	24	case
23	la	DET	24	det
24	Ceremonia	PROPN	21	nmod
25	Inaugural	PROPN	24	flat
26	;	PUNCT	7	punct
27	la	DET	32	det
28	de	ADP	27	case
29	Perec	PROPN	27	nsubj
30	se	PRON	32	expl:pass
31	ha	AUX	32	aux
32	mantenido	VERB	7	advcl
33	en	ADP	35	case
34	el	DET	35	det
35	anonimato	NOUN	32	obl
36	de	ADP	38	case
37	los	DET	38	det
38	entrenamientos	NOUN	35	nmod
39	.	PUNCT	7	punct