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:
Por cierto, ¿para cuándo una línea de metro que pase por el Estadi y el Palau Sant Jordi, donde cada día se programan actos y festivales y se organiza un gran caos?.
Postion	Tokenization
1	Por
2	cierto
3	,
4	¿
5	para
6	cuándo
7	una
8	línea
9	de
10	metro
11	que
12	pase
13	por
14	el
15	Estadi
16	y
17	el
18	Palau
19	Sant
20	Jordi
21	,
22	donde
23	cada
24	día
25	se
26	programan
27	actos
28	y
29	festivales
30	y
31	se
32	organiza
33	un
34	gran
35	caos
36	?
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	8	advmod
2	cierto	ADJ	1	fixed
3	,	PUNCT	1	punct
4	¿	PUNCT	8	punct
5	para	ADP	6	case
6	cuándo	PRON	8	nmod
7	una	DET	8	det
8	línea	NOUN	0	root
9	de	ADP	10	case
10	metro	NOUN	8	nmod
11	que	PRON	12	nsubj
12	pase	VERB	8	acl
13	por	ADP	15	case
14	el	DET	15	det
15	Estadi	PROPN	12	obl
16	y	CCONJ	18	cc
17	el	DET	18	det
18	Palau	PROPN	15	conj
19	Sant	PROPN	18	flat
20	Jordi	PROPN	18	flat
21	,	PUNCT	26	punct
22	donde	PRON	26	obl
23	cada	DET	24	det
24	día	NOUN	26	obl
25	se	PRON	26	expl:pass
26	programan	VERB	15	acl
27	actos	NOUN	26	nsubj
28	y	CCONJ	29	cc
29	festivales	NOUN	27	conj
30	y	CCONJ	32	cc
31	se	PRON	32	expl:pass
32	organiza	VERB	26	conj
33	un	DET	35	det
34	gran	ADJ	35	amod
35	caos	NOUN	32	nsubj
36	?	PUNCT	8	punct
37	.	PUNCT	8	punct