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:
Para el presidente de la Cámara Alta, Andrés Zaldívar, que también se reunirá con los senadores designados por los gobiernos de la Concertación, "es natural que existan divergencias".
Postion	Tokenization
1	Para
2	el
3	presidente
4	de
5	la
6	Cámara
7	Alta
8	,
9	Andrés
10	Zaldívar
11	,
12	que
13	también
14	se
15	reunirá
16	con
17	los
18	senadores
19	designados
20	por
21	los
22	gobiernos
23	de
24	la
25	Concertación
26	,
27	"
28	es
29	natural
30	que
31	existan
32	divergencias
33	"
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	3	case
2	el	DET	3	det
3	presidente	NOUN	29	obj
4	de	ADP	6	case
5	la	DET	6	det
6	Cámara	PROPN	3	nmod
7	Alta	PROPN	6	flat
8	,	PUNCT	9	punct
9	Andrés	PROPN	3	appos
10	Zaldívar	PROPN	9	flat
11	,	PUNCT	9	punct
12	que	PRON	15	nsubj
13	también	ADV	15	advmod
14	se	PRON	15	expl:pv
15	reunirá	VERB	3	acl
16	con	ADP	18	case
17	los	DET	18	det
18	senadores	NOUN	15	obj
19	designados	ADJ	18	amod
20	por	ADP	22	case
21	los	DET	22	det
22	gobiernos	NOUN	19	obj
23	de	ADP	25	case
24	la	DET	25	det
25	Concertación	PROPN	22	nmod
26	,	PUNCT	3	punct
27	"	PUNCT	29	punct
28	es	AUX	29	cop
29	natural	ADJ	0	root
30	que	SCONJ	31	mark
31	existan	VERB	29	csubj
32	divergencias	NOUN	31	nsubj
33	"	PUNCT	29	punct
34	.	PUNCT	29	punct