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:
Con su suscripción al manifiesto, Manuel Fraga se une a otras figuras de relieve del mundo de las ciencias, de las letras y de la política que también se adhirieron al mismo y entre los que se encuentran Giulio Andreotti, Boutros Ghali, Felipe González, Dalai Lama o Desmond Tutu.
Postion	Tokenization
1	Con
2	su
3	suscripción
4	al
5	manifiesto
6	,
7	Manuel
8	Fraga
9	se
10	une
11	a
12	otras
13	figuras
14	de
15	relieve
16	del
17	mundo
18	de
19	las
20	ciencias
21	,
22	de
23	las
24	letras
25	y
26	de
27	la
28	política
29	que
30	también
31	se
32	adhirieron
33	al
34	mismo
35	y
36	entre
37	los
38	que
39	se
40	encuentran
41	Giulio
42	Andreotti
43	,
44	Boutros
45	Ghali
46	,
47	Felipe
48	González
49	,
50	Dalai
51	Lama
52	o
53	Desmond
54	Tutu
55	.
Position	Tokenization	UPOS	Head	Deprel
1	Con	ADP	3	case
2	su	DET	3	det
3	suscripción	NOUN	10	obl
4	al	ADP	5	case
5	manifiesto	NOUN	3	nmod
6	,	PUNCT	3	punct
7	Manuel	PROPN	10	nsubj
8	Fraga	PROPN	7	flat
9	se	PRON	10	expl:pv
10	une	VERB	0	root
11	a	ADP	13	case
12	otras	DET	13	det
13	figuras	NOUN	10	obj
14	de	ADP	15	case
15	relieve	NOUN	13	nmod
16	del	ADP	17	case
17	mundo	NOUN	13	nmod
18	de	ADP	20	case
19	las	DET	20	det
20	ciencias	NOUN	17	nmod
21	,	PUNCT	24	punct
22	de	ADP	24	case
23	las	DET	24	det
24	letras	NOUN	20	conj
25	y	CCONJ	28	cc
26	de	ADP	28	case
27	la	DET	28	det
28	política	NOUN	20	conj
29	que	PRON	32	nsubj
30	también	ADV	32	advmod
31	se	PRON	32	expl:pv
32	adhirieron	VERB	13	acl
33	al	ADP	34	case
34	mismo	PRON	32	obj
35	y	CCONJ	40	cc
36	entre	ADP	38	case
37	los	DET	38	det
38	que	PRON	40	obl
39	se	PRON	40	expl:pv
40	encuentran	VERB	32	conj
41	Giulio	PROPN	40	nsubj
42	Andreotti	PROPN	41	flat
43	,	PUNCT	44	punct
44	Boutros	PROPN	41	conj
45	Ghali	PROPN	44	flat
46	,	PUNCT	47	punct
47	Felipe	PROPN	41	conj
48	González	PROPN	47	flat
49	,	PUNCT	50	punct
50	Dalai	PROPN	41	conj
51	Lama	PROPN	50	flat
52	o	CCONJ	53	cc
53	Desmond	PROPN	41	conj
54	Tutu	PROPN	53	flat
55	.	PUNCT	10	punct