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:
"Dejar la Rambla será doloroso desde el punto de vista sentimental, porque formamos parte de ella, y casi de la ciudad", reconoce Alberto Theilaker, consejero delegado de la empresa.
Postion	Tokenization
1	"
2	Dejar
3	la
4	Rambla
5	será
6	doloroso
7	desde
8	el
9	punto
10	de
11	vista
12	sentimental
13	,
14	porque
15	formamos
16	parte
17	de
18	ella
19	,
20	y
21	casi
22	de
23	la
24	ciudad
25	"
26	,
27	reconoce
28	Alberto
29	Theilaker
30	,
31	consejero
32	delegado
33	de
34	la
35	empresa
36	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	6	punct
2	Dejar	VERB	6	csubj
3	la	DET	4	det
4	Rambla	PROPN	2	obj
5	será	AUX	6	cop
6	doloroso	ADJ	27	ccomp
7	desde	ADP	9	case
8	el	DET	9	det
9	punto	NOUN	6	obl
10	de	ADP	11	case
11	vista	NOUN	9	nmod
12	sentimental	ADJ	9	amod
13	,	PUNCT	15	punct
14	porque	SCONJ	15	mark
15	formamos	VERB	6	advcl
16	parte	NOUN	15	compound
17	de	ADP	18	case
18	ella	PRON	15	obj
19	,	PUNCT	21	punct
20	y	CCONJ	21	cc
21	casi	ADV	18	conj
22	de	ADP	21	case
23	la	DET	24	det
24	ciudad	NOUN	21	nmod
25	"	PUNCT	6	punct
26	,	PUNCT	6	punct
27	reconoce	VERB	0	root
28	Alberto	PROPN	27	nsubj
29	Theilaker	PROPN	28	flat
30	,	PUNCT	31	punct
31	consejero	NOUN	28	appos
32	delegado	ADJ	31	amod
33	de	ADP	35	case
34	la	DET	35	det
35	empresa	NOUN	31	nmod
36	.	PUNCT	27	punct