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 diario estadounidense resalta que el principal interés de Deutsche Telekom por Telefónica es la posición de la firma española en Latinoamérica y la coincidencia de planes para el mercado de EEUU.
Postion	Tokenization
1	El
2	diario
3	estadounidense
4	resalta
5	que
6	el
7	principal
8	interés
9	de
10	Deutsche
11	Telekom
12	por
13	Telefónica
14	es
15	la
16	posición
17	de
18	la
19	firma
20	española
21	en
22	Latinoamérica
23	y
24	la
25	coincidencia
26	de
27	planes
28	para
29	el
30	mercado
31	de
32	EEUU
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	diario	NOUN	4	nsubj
3	estadounidense	ADJ	2	amod
4	resalta	VERB	0	root
5	que	SCONJ	16	mark
6	el	DET	8	det
7	principal	ADJ	8	amod
8	interés	NOUN	16	nsubj
9	de	ADP	10	case
10	Deutsche	PROPN	8	nmod
11	Telekom	PROPN	10	flat
12	por	ADP	13	case
13	Telefónica	PROPN	8	nmod
14	es	AUX	16	cop
15	la	DET	16	det
16	posición	NOUN	4	ccomp
17	de	ADP	19	case
18	la	DET	19	det
19	firma	NOUN	16	nmod
20	española	ADJ	19	amod
21	en	ADP	22	case
22	Latinoamérica	PROPN	16	nmod
23	y	CCONJ	25	cc
24	la	DET	25	det
25	coincidencia	NOUN	16	conj
26	de	ADP	27	case
27	planes	NOUN	25	nmod
28	para	ADP	30	case
29	el	DET	30	det
30	mercado	NOUN	27	nmod
31	de	ADP	32	case
32	EEUU	PROPN	30	nmod
33	.	PUNCT	4	punct