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:
Gelman, que se entrevistó con el presidente uruguayo antes de que éste hiciera pública la noticia, ha recibido el apoyo de más de 160 intelectuales de 70 países en su intento de seguir las huellas de la joven.
Postion	Tokenization
1	Gelman
2	,
3	que
4	se
5	entrevistó
6	con
7	el
8	presidente
9	uruguayo
10	antes
11	de
12	que
13	éste
14	hiciera
15	pública
16	la
17	noticia
18	,
19	ha
20	recibido
21	el
22	apoyo
23	de
24	más
25	de
26	160
27	intelectuales
28	de
29	70
30	países
31	en
32	su
33	intento
34	de
35	seguir
36	las
37	huellas
38	de
39	la
40	joven
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Gelman	PROPN	20	nsubj
2	,	PUNCT	5	punct
3	que	PRON	5	nsubj
4	se	PRON	5	expl:pv
5	entrevistó	VERB	1	acl
6	con	ADP	8	case
7	el	DET	8	det
8	presidente	NOUN	5	obj
9	uruguayo	ADJ	8	amod
10	antes	ADV	5	advmod
11	de	ADP	14	mark
12	que	SCONJ	14	mark
13	éste	PRON	14	nsubj
14	hiciera	VERB	10	advcl
15	pública	ADJ	14	obj
16	la	DET	17	det
17	noticia	NOUN	14	obj
18	,	PUNCT	5	punct
19	ha	AUX	20	aux
20	recibido	VERB	0	root
21	el	DET	22	det
22	apoyo	NOUN	20	obj
23	de	ADP	27	case
24	más	ADV	27	advmod
25	de	ADP	24	case
26	160	NUM	24	nummod
27	intelectuales	NOUN	22	nmod
28	de	ADP	30	case
29	70	NUM	30	nummod
30	países	NOUN	27	nmod
31	en	ADP	33	case
32	su	DET	33	det
33	intento	NOUN	22	nmod
34	de	ADP	35	mark
35	seguir	VERB	33	acl
36	las	DET	37	det
37	huellas	NOUN	35	obj
38	de	ADP	40	case
39	la	DET	40	det
40	joven	NOUN	37	nmod
41	.	PUNCT	20	punct