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:
Los informativos, así como programas y series, harán hincapié en octubre en los obstáculos que impiden la integración social y laboral de los enfermos mentales crónicos.
Postion	Tokenization
1	Los
2	informativos
3	,
4	así
5	como
6	programas
7	y
8	series
9	,
10	harán
11	hincapié
12	en
13	octubre
14	en
15	los
16	obstáculos
17	que
18	impiden
19	la
20	integración
21	social
22	y
23	laboral
24	de
25	los
26	enfermos
27	mentales
28	crónicos
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	informativos	NOUN	10	nsubj
3	,	PUNCT	6	punct
4	así	ADV	6	cc
5	como	SCONJ	4	fixed
6	programas	NOUN	2	conj
7	y	CCONJ	8	cc
8	series	NOUN	6	conj
9	,	PUNCT	10	punct
10	harán	VERB	0	root
11	hincapié	NOUN	10	compound
12	en	ADP	13	case
13	octubre	NOUN	10	obl
14	en	ADP	16	case
15	los	DET	16	det
16	obstáculos	NOUN	10	obj
17	que	PRON	18	nsubj
18	impiden	VERB	16	acl
19	la	DET	20	det
20	integración	NOUN	18	obj
21	social	ADJ	20	amod
22	y	CCONJ	23	cc
23	laboral	ADJ	21	conj
24	de	ADP	26	case
25	los	DET	26	det
26	enfermos	NOUN	20	nmod
27	mentales	ADJ	26	amod
28	crónicos	ADJ	26	amod
29	.	PUNCT	10	punct