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:
El de la Universidad Complutense de Madrid, Rafael Puyol, nada sospechoso de hallarse en la órbita socialista, teme que "el procedimiento no sólo va a favorecer las injerencias externas, sino que reducirá la capacidad del elegido por la enorme dispersión del voto".
Postion	Tokenization
1	El
2	de
3	la
4	Universidad
5	Complutense
6	de
7	Madrid
8	,
9	Rafael
10	Puyol
11	,
12	nada
13	sospechoso
14	de
15	hallarse
16	hallar
17	se
18	en
19	la
20	órbita
21	socialista
22	,
23	teme
24	que
25	"
26	el
27	procedimiento
28	no
29	sólo
30	va
31	a
32	favorecer
33	las
34	injerencias
35	externas
36	,
37	sino
38	que
39	reducirá
40	la
41	capacidad
42	del
43	elegido
44	por
45	la
46	enorme
47	dispersión
48	del
49	voto
50	"
51	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	13	det
2	de	ADP	4	case
3	la	DET	4	det
4	Universidad	PROPN	13	nmod
5	Complutense	PROPN	4	flat
6	de	ADP	7	case
7	Madrid	PROPN	4	flat
8	,	PUNCT	9	punct
9	Rafael	PROPN	13	obj
10	Puyol	PROPN	9	flat
11	,	PUNCT	9	punct
12	nada	ADV	13	advmod
13	sospechoso	ADJ	22	nsubj
14	de	ADP	15	mark
15	hallarse	_	None	_
16	hallar	VERB	13	acl
17	se	PRON	15	expl:pv
18	en	ADP	19	case
19	la	DET	19	det
20	órbita	NOUN	15	obl
21	socialista	ADJ	19	amod
22	,	PUNCT	13	punct
23	teme	VERB	0	root
24	que	SCONJ	31	mark
25	"	PUNCT	31	punct
26	el	DET	26	det
27	procedimiento	NOUN	31	nsubj
28	no	PART	31	advmod
29	sólo	ADV	27	fixed
30	va	AUX	31	aux
31	a	ADP	31	mark
32	favorecer	VERB	22	xcomp
33	las	DET	33	det
34	injerencias	NOUN	31	obj
35	externas	ADJ	33	amod
36	,	PUNCT	38	punct
37	sino	CCONJ	38	cc
38	que	SCONJ	36	fixed
39	reducirá	VERB	31	conj
40	la	DET	40	det
41	capacidad	NOUN	38	obj
42	del	ADP	42	case
43	elegido	ADJ	40	amod
44	por	ADP	46	case
45	la	DET	46	det
46	enorme	ADJ	46	amod
47	dispersión	NOUN	42	obj
48	del	ADP	48	case
49	voto	NOUN	46	nmod
50	"	PUNCT	22	punct
51	.	PUNCT	22	punct