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:
La compañía, una de las más antiguas de Oriente Próximo, tiene numerosos críticos en su propio país y son muchas e insistentes las voces que reclaman su privatización.
Postion	Tokenization
1	La
2	compañía
3	,
4	una
5	de
6	las
7	más
8	antiguas
9	de
10	Oriente
11	Próximo
12	,
13	tiene
14	numerosos
15	críticos
16	en
17	su
18	propio
19	país
20	y
21	son
22	muchas
23	e
24	insistentes
25	las
26	voces
27	que
28	reclaman
29	su
30	privatización
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	compañía	NOUN	13	nsubj
3	,	PUNCT	4	punct
4	una	PRON	2	appos
5	de	ADP	8	case
6	las	DET	8	det
7	más	ADV	8	advmod
8	antiguas	ADJ	4	amod
9	de	ADP	10	case
10	Oriente	PROPN	8	nmod
11	Próximo	ADJ	10	flat
12	,	PUNCT	4	punct
13	tiene	VERB	0	root
14	numerosos	ADJ	15	amod
15	críticos	NOUN	13	obj
16	en	ADP	19	case
17	su	DET	19	det
18	propio	DET	17	det
19	país	NOUN	13	obl
20	y	CCONJ	22	cc
21	son	AUX	22	cop
22	muchas	ADJ	13	conj
23	e	CCONJ	24	cc
24	insistentes	ADJ	22	conj
25	las	DET	26	det
26	voces	NOUN	22	nsubj
27	que	PRON	28	nsubj
28	reclaman	VERB	26	acl
29	su	DET	30	det
30	privatización	NOUN	28	obj
31	.	PUNCT	13	punct