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:
También intervino ante la convención el actor Tommy Lee Jones, quien deleitó a la audiencia con sus recuerdos de Universidad junto a Gore, con el que vivió cuatro años, del que ha sido amigo durante 35 años y de quien dijo que "es lo más cercano que tengo a un hermano".
Postion	Tokenization
1	También
2	intervino
3	ante
4	la
5	convención
6	el
7	actor
8	Tommy
9	Lee
10	Jones
11	,
12	quien
13	deleitó
14	a
15	la
16	audiencia
17	con
18	sus
19	recuerdos
20	de
21	Universidad
22	junto
23	a
24	Gore
25	,
26	con
27	el
28	que
29	vivió
30	cuatro
31	años
32	,
33	del
34	que
35	ha
36	sido
37	amigo
38	durante
39	35
40	años
41	y
42	de
43	quien
44	dijo
45	que
46	"
47	es
48	lo
49	más
50	cercano
51	que
52	tengo
53	a
54	un
55	hermano
56	"
57	.
Position	Tokenization	UPOS	Head	Deprel
1	También	ADV	2	advmod
2	intervino	VERB	0	root
3	ante	ADP	5	case
4	la	DET	5	det
5	convención	NOUN	2	obj
6	el	DET	7	det
7	actor	NOUN	2	nsubj
8	Tommy	PROPN	7	appos
9	Lee	PROPN	8	flat
10	Jones	PROPN	8	flat
11	,	PUNCT	13	punct
12	quien	PRON	13	nsubj
13	deleitó	VERB	7	acl
14	a	ADP	16	case
15	la	DET	16	det
16	audiencia	NOUN	13	obj
17	con	ADP	19	case
18	sus	DET	19	det
19	recuerdos	NOUN	13	obl
20	de	ADP	21	case
21	Universidad	PROPN	19	nmod
22	junto	ADJ	24	case
23	a	ADP	22	fixed
24	Gore	PROPN	19	nmod
25	,	PUNCT	29	punct
26	con	ADP	28	case
27	el	DET	28	det
28	que	PRON	29	obl
29	vivió	VERB	24	acl
30	cuatro	NUM	31	nummod
31	años	NOUN	29	obl
32	,	PUNCT	37	punct
33	del	ADP	34	case
34	que	PRON	37	obj
35	ha	AUX	37	aux
36	sido	AUX	37	cop
37	amigo	NOUN	29	advcl
38	durante	ADP	40	case
39	35	NUM	40	nummod
40	años	NOUN	37	obl
41	y	CCONJ	44	cc
42	de	ADP	43	case
43	quien	PRON	44	iobj
44	dijo	VERB	29	conj
45	que	SCONJ	47	mark
46	"	PUNCT	47	punct
47	es	AUX	44	ccomp
48	lo	PRON	52	det
49	más	ADV	50	advmod
50	cercano	ADJ	52	amod
51	que	PRON	52	obj
52	tengo	VERB	47	ccomp
53	a	ADP	55	case
54	un	DET	55	det
55	hermano	NOUN	52	obj
56	"	PUNCT	47	punct
57	.	PUNCT	2	punct